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Saturday, July 11
 

8:15am ADT

Registration
Saturday July 11, 2026 8:15am - 7:00pm ADT

Saturday July 11, 2026 8:15am - 7:00pm ADT
Ballroom Salon

9:00am ADT

From Graphs to Foundation Models: Modern Approaches to Neural Population Analysis
Saturday July 11, 2026 9:00am - 12:00pm ADT
The study of neuronal populations through graph and network theory provides powerful insights into brain organizational principles [1]. This half-day tutorial will focus on computational tools and modern learning paradigms for analyzing neuronal activity as networks, uncovering functional organization, and learning transferable representations of neural systems across scales and modalities. The...
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Speakers
MK

Moein Khajehnejad

Post-doctoral Research Fellow, Monash University
I am a post-doctoral research fellow in Monash Data Future Institute and Computational & Systems Neuroscience Laboratory at Turner Institute for Brain and Mental Health at Monash University working with Prof. Adeel Razi.
I am passionate about advancing Foundation Models in Neuro... Read More →
Saturday July 11, 2026 9:00am - 12:00pm ADT
Room 502

9:00am ADT

Multiscale modeling with MOOSE and Jardesigner
Saturday July 11, 2026 9:00am - 12:00pm ADT
MOOSE, the Multiscale Object-Oriented Simulation Environment (https://mooseneuro.org) is a system for modelling multiple scales in neuroscience, from biochemical pathways with reaction-diffusion systems to detailed biophysical models of single neurons and neuronal networks. This tutorial will provide participants with a brief overview of MOOSE and its ecosystem. We will start with a walkthrough of...
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Speakers
BP

Bhanu Priya Somashekar

Post-doc, National Centre for Biological Sciences
avatar for Upinder Singh Bhalla

Upinder Singh Bhalla

Professor, NCBS/TIFR
Multiscale modelling of neurons especially in synaptic plasticity: including chemical and electrical signaling, traffic and mechanical changes. Tool development for all of these, including GENESIS, MOOSE, FindSim and more.
Saturday July 11, 2026 9:00am - 12:00pm ADT
Room 505

9:00am ADT

OCNS Board Meeting
Saturday July 11, 2026 9:00am - 5:00pm ADT

Saturday July 11, 2026 9:00am - 5:00pm ADT
Room 508

9:00am ADT

Building mechanistic biophysical models using NEURON and NetPyNE: from molecules to circuit dynamics to LFP/EEG measures
Saturday July 11, 2026 9:00am - 5:00pm ADT
Understanding the brain requires studying its multiscale interactions, from molecules to cells to circuits and networks. Although vast experimental datasets are being generated across scales and modalities, integrating and interpreting this data remains a daunting challenge. This tutorial will highlight recent advances in mechanistic multiscale modeling and how it offers an unparalleled approach...
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Speakers
avatar for Adam Newton

Adam Newton

Research Scientist, SUNY Downstate Health Sciences University

SD

Salvador Dura-Bernal

SUNY Downstate, USA
avatar for Robert McDougal

Robert McDougal

Associate Professor, Yale University
Looking for a postgrad or postdoc position implementing simulation methods? I'm hiring.I'm an Associate Professor in the Health Informatics division of Biostatistics, and a developer for NEURON and ModelDB. Computationally and mathematically, I'm interested in dynamical systems modeling... Read More →
avatar for Bill Lytton

Bill Lytton

Professor, SUNY Downstate, USA
Saturday July 11, 2026 9:00am - 5:00pm ADT
Room 501

10:10am ADT

Coffee break
Saturday July 11, 2026 10:10am - 10:40am ADT

Saturday July 11, 2026 10:10am - 10:40am ADT
Ballroom Salon

1:00pm ADT

From single-cell modeling to large-scale network dynamics with NEST Simulator
Saturday July 11, 2026 1:00pm - 5:00pm ADT
For more details and materials related to this tutorial, please see the tutorial website: https://clinssen.github.io/NEST-workshop/NEST is an established open-source simulator for spiking neuronal networks that combines detailed biological modeling with high performance and scalability from laptops to HPC systems [1], and has supported hundreds of studies, including a large-scale model of...
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Speakers
avatar for Agnes Korcsak-Gorzo

Agnes Korcsak-Gorzo

Researcher, Forschungszentrum Jülich GmbH
avatar for Charl Linssen

Charl Linssen

Jülich Research Centre, Germany
Saturday July 11, 2026 1:00pm - 5:00pm ADT
Room 505

1:00pm ADT

Let there be Neulite: A short introduction to a light-weight neuron simulator
Saturday July 11, 2026 1:00pm - 5:00pm ADT
Neulite is a light-weight neuron simulator designed for biophysically detailed single-neuron and network models [1]. It specifically targets neuron models from the Allen Cell-Types Database and can execute models described in the Brain Modeling ToolKit (BMTK) with minimum modification. Neulite is built on the philosophy of a Minimum Viable Product (MVP). Unlike general-purpose simulators that aim...
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Speakers
Saturday July 11, 2026 1:00pm - 5:00pm ADT
Room 502

3:00pm ADT

Coffee break
Saturday July 11, 2026 3:00pm - 3:30pm ADT

Saturday July 11, 2026 3:00pm - 3:30pm ADT
Ballroom Salon

5:00pm ADT

Welcome and Announcememts
Saturday July 11, 2026 5:00pm - 5:20pm ADT

Saturday July 11, 2026 5:00pm - 5:20pm ADT
Ballroom B1

5:20pm ADT

Keynote 1: Bratislav Misic
Saturday July 11, 2026 5:20pm - 6:20pm ADT

Saturday July 11, 2026 5:20pm - 6:20pm ADT
Ballroom B1

6:20pm ADT

Welcome Reception
Saturday July 11, 2026 6:20pm - 8:00pm ADT

Saturday July 11, 2026 6:20pm - 8:00pm ADT
TBA
 
Sunday, July 12
 

8:15am ADT

Registration
Sunday July 12, 2026 8:15am - 5:00pm ADT

Sunday July 12, 2026 8:15am - 5:00pm ADT
TBA

9:00am ADT

Announcements
Sunday July 12, 2026 9:00am - 9:10am ADT

Sunday July 12, 2026 9:00am - 9:10am ADT
Ballroom B1

9:10am ADT

Keynote 2: Mac Shine, "The Neurobiological Basis of Consciousness"
Sunday July 12, 2026 9:10am - 10:10am ADT
Understanding the neural basis of consciousness requires mechanistic accounts that span multiple scales of brain organisation. Yet most existing theoretical frameworks operate at the macroscale, offering systems-level predictions without prescribing the cellular and circuit-level mechanisms that implement them. Here I argue that the multiscale architecture of the thalamocortical system offers a...
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Sunday July 12, 2026 9:10am - 10:10am ADT
Ballroom B1

10:10am ADT

Coffee Break
Sunday July 12, 2026 10:10am - 10:40am ADT

Sunday July 12, 2026 10:10am - 10:40am ADT
Ballroom Salon

10:40am ADT

FO1: The Synapse-Pairing Tradeoff: How Clustering, Bursts, and Dendritic Location Enable Robust Plasticity In-Vivo
Sunday July 12, 2026 10:40am - 11:10am ADT
Dhuruva Priyan Gowri Mariyappan*1,2,3, Nghi V Nguyen2,3,4, Giuseppe Chindemi5, András Ecker6, Sabrina Tazerart2,4, James Isbister7, Darshan Mandge7, Diana E. Mitchell2,4, Michael W Reimann7, Roberto Araya4,2, Eilif B Muller2,3,41 Department of Computer Science and Operations Research, Faculty of Arts and Science, Université de Montréal, Montréal, Canada2 Centre de Recherche Azrieli...
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Sunday July 12, 2026 10:40am - 11:10am ADT
Ballroom B1

11:10am ADT

O1: Biologically plausible credit assignment via neuronal frequency multiplexing
Sunday July 12, 2026 11:10am - 11:30am ADT
Li Ji-An1,2,3, Marcus K. Benna*31 Neurosciences Graduate Program, University of California San Diego, La Jolla, CA, USA2 Department of Psychology, New York University, New York, NY, USA3 Department of Neurobiology, University of California San Diego, La Jolla, CA, USA*Email: [email protected] has been highly successful for training artificial neural...
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Speakers
MK

Marcus K Benna

UC San Diego
Sunday July 12, 2026 11:10am - 11:30am ADT
Ballroom B1

11:30am ADT

O2: A unifying account of rTMS and rTFUS neurostimulation effects based on calcium-dependent synaptic plasticity theory and an equivalent-energy principle
Sunday July 12, 2026 11:30am - 11:50am ADT
John D. Griffiths*1,2,3,4, Kevin Kadak1,3, Yupeng Tian1,5,61Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Canada2Department of Psychiatry, University of Toronto, Canada3Institute of Medical Sciences, University of Toronto, Canada4Institute of Biomedical Engineering, University of Toronto, Canada5Dept. Mathematics, University of Toronto, Canada 6Fields...
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Speakers
Sunday July 12, 2026 11:30am - 11:50am ADT
Ballroom B1

11:50am ADT

O3: Compartmentalized learning through coupled electrochemical adaptation in cortical pyramidal neurons
Sunday July 12, 2026 11:50am - 12:10pm ADT
Beatriz Barros1,2, Raquel Figueiredo1,2, Renato Duarte*1, 21Center for Neuroscience and Cell Biology (CNC-UC), University of Coimbra, Portugal2Centre for Innovative Biomedicine and Biotechnology (CiBB), University of Coimbra, Portugal*Email: [email protected] single cortical neuron simultaneously expresses Hebbian STDP proximally and cooperative plasticity distally, couples...
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Speakers
avatar for Renato Duarte

Renato Duarte

Assistant Researcher, Center for Neuroscience and Cell Biology (CNC), University of Coimbra
Sunday July 12, 2026 11:50am - 12:10pm ADT
Ballroom B1

12:10pm ADT

O4: Rewarding Control: Feedback-Phase-Dependent 2Hz Medial Frontal Transcranial Alternating Current Stimulation Shifts the Expected Value of Control
Sunday July 12, 2026 12:10pm - 12:30pm ADT
Authors: Robert Louis Treuting1, Eric Rawls*1,2Affiliations: 1Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, USA, 2Department of Psychiatry and Behavioral Sciences, University of Minnesota Twin Cities, Minneapolis, MN, USA*Email: [email protected] frontal delta activity is a plausible control signal because the Reward Positivity (RewP)...
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Speakers
Sunday July 12, 2026 12:10pm - 12:30pm ADT
Ballroom B1

12:30pm ADT

Program Commitee Meeting
Sunday July 12, 2026 12:30pm - 2:00pm ADT

Sunday July 12, 2026 12:30pm - 2:00pm ADT
TBA

2:00pm ADT

FO2: Norepinephrine Restores Cortical Dynamics and Enables Machine Learning–Based Severity Mapping in a Multiscale Model of Parkinson’s Disease
Sunday July 12, 2026 2:00pm - 2:30pm ADT
Jeeyune Jung*1,3,   Adam Newton1,3,  Donald Doherty1,3,  Hong-Yuan Chu2,3,  Samuel Neymotin4 , William Lytton1,31. Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA 2. Department of Pharmacology and Physiology, Georgetown University Medical Center, Washington, DC, USA 3. Aligning Science Across...
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Sunday July 12, 2026 2:00pm - 2:30pm ADT
Ballroom B1

2:30pm ADT

O5: Impact of EAAT2 Dysfunction on AMPA/NMDA-Mediated Excitability in Neuronal Activity
Sunday July 12, 2026 2:30pm - 2:50pm ADT
Hannah van Susteren1,*, Guillaume Girier2,*, Michel J.A.M. van Putten3,4 , Jaroslav Hlinka2, Helmut Schmidt2, Hil G.E. Meijer11 Department of Applied Mathematics, University of Twente, Enschede, the Netherlands2 Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic3 Department of Neurology and Clinical Neurophysiology, University of Twente, Enschede, the...
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Speakers
HV

Hannah van Susteren

PhD student, University of Twente
Sunday July 12, 2026 2:30pm - 2:50pm ADT
Ballroom B1

2:50pm ADT

O6: Multiscale modeling of neural markers for adaptive deep brain stimulation in Parkinson’s Disease
Sunday July 12, 2026 2:50pm - 3:10pm ADT
Alberto Mazzoni1,2,*, Federico Fattorini1,2, Nicolò Meneghetti1,21The Biorobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy2Department of Excellence for Robotics and AI, Scuola Superiore Sant’Anna, Pisa, Italy*Email: [email protected]’s disease (PD) is a common neurodegenerative disorder causing severe impairments. Drug-resistant patients are...
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Speakers
Sunday July 12, 2026 2:50pm - 3:10pm ADT
Ballroom B1

3:10pm ADT

O7: Decreased alpha/theta temporal ExSEnt of left prefrontal cortex: a robust biomarker of dementia
Sunday July 12, 2026 3:10pm - 3:30pm ADT
Sara Kamali*1, Fabiano Baroni1, Pablo Varona11Department of Computer Engineering, Autonomous University of Madrid, Madrid, Spain*Email: [email protected] involves progressive cognitive decline, with Alzheimer’s disease (AD) and frontotemporal dementia (FTD) as major subtypes. Electroencephalography (EEG) provides a noninvasive and accessible measure of brain dynamics and...
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Speakers
Sunday July 12, 2026 3:10pm - 3:30pm ADT
Ballroom B1

3:30pm ADT

O8: Frequency-dependent modulation of cortical traveling waves during general anesthesia
Sunday July 12, 2026 3:30pm - 3:50pm ADT
Duan Li*, Anthony G. HudetzCenter for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI *Email: [email protected] anesthetics profoundly reshape neuronal activity and functional interactions, yet how they alter the spatiotemporal organization of the cortex is incompletely understood. Traveling waves provide a framework for examining...
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Speakers
DL

Duan Li

Associate Research Scientist, University of MIchigan
Sunday July 12, 2026 3:30pm - 3:50pm ADT
Ballroom B1

3:50pm ADT

Coffee break
Sunday July 12, 2026 3:50pm - 4:20pm ADT

Sunday July 12, 2026 3:50pm - 4:20pm ADT
Ballroom Salon

4:20pm ADT

Poster Session 1
Sunday July 12, 2026 4:20pm - 6:20pm ADT

Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P001: Blind identification of sleep spindles through trispectral modulation analysis
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionSleep spindles —oscillatory bursts of 12-16 Hz associated with non-REM (NREM) sleep— are a key marker of sleep-related neuroplasticity. The gold standard for sleep spindle detection is commonly taken to be visual inspection by a trained sleep specialist. No blind, purely data-driven, methods have yet been demonstrated that are capable of identifying spectral and temporal properties...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P002: How Can Spiking Networks Remain Resilient Under Degeneration?
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionProgressive loss of synapses and neurons can reshape circuit activity before complete network failure. Yet it remains unclear why some spiking networks preserve weakly active, irregular dynamics under structural damage while others drift toward abnormal firing, variability or synchrony [1,2]. This problem is difficult because structural loss, baseline dynamics and excitatory-inhibitory...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P003: How long we live? Insights into neural ageing using fractional harmonic oscillator
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionNeural signals exhibit systematic changes across the lifespan. In particular, the 1/f slope of the neural power spectral density (PSD), a measure of power decay with frequency, shows age-dependent decline from infancy to old age. Another PSD feature, the peak power of gamma oscillations (20-66 Hz), elicited by visual stimulus, varies non-monotonically with age, while increasing from...
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Speakers
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P004: Beyond Optimality: Neural Mechanisms of Heuristic Decision-Making
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionHumans and animals deploy diverse strategies within their ecological environments. Much of neuroscience has focused on normative frameworks in which agents optimize decisions — Bayesian inference, speed–accuracy tradeoffs, gradient-based learning [1,2]. Yet real agents frequently rely on heuristics specifically adapted to their ecology: cognitive shortcuts that save time and...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P005: A Brain-Wide Atlas of Intrinsic Neural Timescales in Mice
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionIntrinsic neural timescales quantify how long neurons integrate information, a fundamental metric of brain organization [1]. Yet accurate brain-wide mapping has been limited by two methodological challenges: binned autocorrelation methods underestimate timescales in low-firing neurons, and single-exponential models obscure multi-component temporal structure. We addressed both by...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P006: Disentangling Sensory Drivers of Spatial Codes with Recurrent Audiovisual Models in VR
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionSpatial navigation relies on integrating multimodal cues[1], yet both in vivo and in silico hippocampal research overwhelmingly focuses on vision [2,3,6]. While recent work showed mice entorhinal cortex contain both unimodal and multimodal cells[3], how different modalities are weighted and integrated remains poorly understood. We develop a modelling pipeline with an agent traversing a...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P007: Spatial attention shapes the pupillary light response
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionTraditionally, the pupillary light response is viewed as a global reflex stabilizing retinal illumination by integrating luminance across the visual field [1]. However, recent work suggests pupil responses are also modulated by spatial mechanisms linked to attention and eye movement planning. When global luminance is held constant, directing attention to brighter regions produces...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P008: Movement representations for classification and perception: posture dominates over dynamics
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionMotion perception is the remarkable ability of the visual system to recognize complex human movements effortlessly. Computational movement analysis seeks representations that mirror this efficiency while remaining interpretable. The motor modularity hypothesis proposes that movements are composed of weighted primitives [1], yet whether theory-driven...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P009: Optimal Self-Organization in Mean-Field Multi-Agent Neuronal Networks
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionNeuronal networks (NNs) are predominantly modeled as dynamical systems, requiring ad hoc analyses to explore the interplay between population codes (PCs) and computation [3,4]. By viewing PCs as distributions over the NN state space [2] we develop a framework for modeling emergent computation through the lens of multi-agent (MA) optimal control (OC). In it, neurons regulate their local...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P010: Computing Motor Error with Inhibition: A Minimal Excitatory-Inhibitory Circuit Motif
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionMotor control requires continuous comparison between desired and actual states, yet how error signals are computed at the cellular level is not well understood. Optimal Feedback Control theory presents what computations the brain might perform during movement but not how neurons implement them [1,2]. Inhibition in sensorimotor cortex is typically framed as maintaining...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P011: Dendrites Learn to Detect Input Sequences Through Local Plasticity
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionNeurons can encode information not only by which cells fire, but also by the order in which they fire: n active neurons can represent n! sequences. Hippocampal place cells fire in such sequences during navigation and replay these sequences during rest. During replay, synapses can be activated sequentially from tip to soma along dendrites [1]. A dendrite can selectively advance...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P012: Integrating Neuroimaging and Omics to Characterize Parkinson’s Disease Progression
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionParkinson's disease (PD) is a progressive neurodegenerative disorder characterized by dopaminergic neuronal loss and heterogeneous clinical trajectories with motor and non-motor symptoms [1]. Predicting disease progression requires biomarkers capturing both brain alterations and underlying molecular mechanisms. Neuroimaging reveals structural brain changes [2], while transcriptomic and...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P013: Relationships Between Connectivity and Longitudinal Memory Decline Using Network Analysis and Partial Least Squares
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThere has been recent evidence to suggest that autistic adults have higher risk of neurodegenerative disease and dementia compared to non-autistic adults [1]. Previous studies have found some age-related brain differences between autistic and non-autistic adults, but how these differences may contribute to increased dementia risk remain unclear. We used a combination of network...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P014: Modeling box jellyfish obstacle avoidance behavior with evolutionary optimization and small feedforward neural networks
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionBox jellyfish (Tripedalia cystophora) are animals without a centralized brain [1]. Despite their small decentralized nervous system, they can perform visually guided obstacle avoidance behavior (OAB) [2], which is crucial for survival in their natural habitat. Recent work has shown that box jellyfish are even capable of associative learning and identified the learning center to be the...
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Speakers
avatar for Wilhelm Braun

Wilhelm Braun

Junior Research Group Leader, Kiel University (CAU Kiel), Faculty of Engineering, Department of Electrical and Information Engineering
Early nervous systems, functional neuronal networks, stochastic neural dynamics, animal behavior, reinforcement learning, network reconstruction
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P015: A biologically grounded spiking model of feedback-gated prediction broadcasting in cortical Layer 5
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionPredictive coding proposes that cortical circuits continually compare incoming sensory signals with top-down expectations and propagate mismatches across a hierarchy to refine perception and behaviour [1,2]. Although influential, many existing models remain abstract and do not explain how deep cortical layers transform superficial prediction errors into broadcast predictions. They...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P016: Vestibular predictions during maternal gait help shape development of neural of timekeeping
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionHumans develop beat perception and rhythm synchronization remarkably early, suggesting that prenatal experience may play a formative role. The neural basis behind this remains poorly understood. We propose that maternal gait during pregnancy helps shape the development of neural timekeeping by pairing rhythmic auditory events with correlated smooth vestibular input that the fetus...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P017: Adapting the reconstruction of the cerebellar cortex to the shape of the brain
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionCurrent knowledge on the cellular composition and local connectivity of the cerebellar cortex has enabled the reconstruction of detailed microcircuit models [1, 2]. However, up to now, none of these models take into account the real convoluted shape of the cerebellar cortex. We aim at reconstructing and simulating atlas-mapped mouse cerebellar regions, capturing the relationship...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P018: Digital Twins in stroke and spreading depression
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionMultiscale modeling (MSM) permits us to better understand how ischemia and spreading depolarization (SD) together damage neurons. However, it is a long step from there to producing clinical tools to counter or prevent stroke. Such tools must include clinical data from neurology and cardiology, endocrinology and other clinical specialties, as well as from other biomedical sciences, and...
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Speakers
avatar for Adam Newton

Adam Newton

Research Scientist, SUNY Downstate Health Sciences University

avatar for Robert McDougal

Robert McDougal

Associate Professor, Yale University
Looking for a postgrad or postdoc position implementing simulation methods? I'm hiring.I'm an Associate Professor in the Health Informatics division of Biostatistics, and a developer for NEURON and ModelDB. Computationally and mathematically, I'm interested in dynamical systems modeling... Read More →
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P019: A Unified Deep Oscillatory Network Model of the Hippocampal Sharp Wave Ripples
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThe well-known link between neural dynamics of spatial navigation and hippocampus is reflected in characteristic phenomena like neurons encoding spatial and temporal variables, and oscillatory dynamics such as phase precession in locomotion and sharp-wave ripples at rest. Existing computational models like oscillatory interference models, continuous attractor network and deep learning...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P020: Prefrontal and Parietal Local Field Potentials Employ Different Visuospatial Codes for Reach: A Complex-Valued Network Classification Approach
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionUnderstanding how cortical oscillations coordinate spatial memory and motor planning is a central challenge in systems neuroscience. We tested whether phase–amplitude dynamics in cortical local field potentials (LFPs) encode distributed versus region-specific signals for spatial memory and planning under varying visuospatial conditions.MethodsWe developed a Complex-Valued Neural...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P021: Local dendritic voltage provides a reliable read-out of global synaptic activity
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionNeurons receive synaptic inputs across a spatially extended dendritic tree [1]. Recent work has shown that neuronal excitability is independent of the size of the dendritic tree when distributed dendritic, instead of somatic, inputs are considered [2]. Such dendritic normalisation has also been shown to improve the speed and robustness of learning [3]. The question remains, however,...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P022: Electrophysiological and computational analysis of burst generation in Drosophila class III cold nociceptors
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionIn Drosophila larvae, Class III (CIII) primary sensory neurons detect nociceptive cold temperatures, with about half responding to rapid cooling with transient bursting (1,2). Cold responses have been linked to activation of thermosensitive TRP channels, including TRPM, PKD2, and NOMPC (1,3). We previously showed that lowering extracellular Cl⁻ enhances spiking and promotes bursting...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P023: Low-Dimensional Projections of Neural Population Activity in M1, PMd, and PMv Hand Representations Demonstrate Differences in Effector Dependence
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThe activity of the primary motor cortex (M1) across stages of a motor task evolves through attractors that capture the dominant activity when preparing and executing a task [1, 2]. This suggests that dimensionality reduction (DR) plays a key role in how M1 controls movements. In primates, in addition to M1, motor commands are generated by a network of frontal areas, the premotor...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P024: Shared-input structure determines functional connectivity in neural oscillator networks
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionFunctional connectivity (FC) describes statistical dependencies between the activity of neurons or groups of neurons [1]. Comparing FC with anatomical connectivity (SC) has emerged as a promising avenue to study how brain structure supports function [1,2]. Studies have reported a wide range of SC–FC correspondence values [1,2], highlighting the need...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P025: A Conductance-Based Whole-Brain Modeling Framework for Isolating Pharmacological Effects on Excitation-Inhibition Dynamics
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThe excitation-inhibition (E:I) ratio is a key biomarker in psychiatric conditions, and can be modulated by pharmacological interventions. Ketamine, an NMDA receptor antagonist, blocks NMDA receptors on inhibitory neurons, driving cortical disinhibition. Electrophysiologically, ketamine reduces the mismatch negativity (MMN) signal, which is a measure of sensory surprise within the...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P026: Compartment-specific calcium dynamics drive local, co-dependent excitatory and inhibitory plasticity in cortical networks
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionLearning requires neural circuits to remain adaptable while preserving learned representations—a fundamental trade-off known as the plasticity-stability dilemma. Dendritic arbors equipped with compartment-specific inhibition support local gating of excitatory plasticity, allowing multiple input streams to be integrated independently within a single neuron, without disrupting existing...
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Speakers
avatar for Renato Duarte

Renato Duarte

Assistant Researcher, Center for Neuroscience and Cell Biology (CNC), University of Coimbra
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P027: Adaptive Homeostasis: Coupling Synaptic Plasticity, Homeostatic Scaling, and Intrinsic Plasticity
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionSynaptic plasticity underlies learning and memory. To prevent instability from unconstrained Hebbian modifications, neurons engage homeostatic processes to globally adjust synaptic weights and membrane excitability [1]. Despite co-occurring, Hebbian and homeostatic plasticity are traditionally modeled independently, leaving their molecular crosstalk unresolved [2]. Recent evidence...
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Speakers
avatar for Renato Duarte

Renato Duarte

Assistant Researcher, Center for Neuroscience and Cell Biology (CNC), University of Coimbra
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P028: Reliability of Eigenspectra Decay and Variance Scaling in 3T and 7T fMRI
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionA system organized to criticality is able to switch phases from small inputs[1]. Prior research indicates that neural systems are organized to near-criticality across multiple scales[2]. One modality for which criticality analysis is novel is fMRI. fMRI allows for the analysis of resting state brain networks (RSNs), groups of units that coactivate with one another and reflect specific...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P029: Modeling Emotional Contagion in Rats Using Dynamical State-Space Models
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionEmotional contagion, the sharing of another individual’s emotional state, is a key component of social behavior and empathy. Neural population dynamics underlying internal affective states are increasingly studied using latent dynamical models that reveal structured activity patterns associated with behavioral states (Nair et al., 2022). In rodents, socially relevant experiences can...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P030: Scalable Modular Architectures for Naturalistic Behavior and Cognitive Mapping in Biological and Artificial Intelligence
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionBiological intelligence is far more adaptive, autonomous and efficient than current artificial intelligence, despite recent advances. Neuroethological comparisons and computational simulations show that nervous systems across phyla share a conserved modular organization for information flow from sensation to behavior [1](Fig. 1). Differences between mammals and primitive soft-bodied...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P031: Pathway-Specific Temporal Structure of Behavior-Predictive Modeling from Dopaminoceptive Striatal Activity
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionForecasting behavioral actions from neuronal circuit activity requires selecting an appropriate prediction horizon and history window for the model. This choice depends on the signal timescale, circuitry, target behaviors, and task structure. In dopaminoceptive striatal circuits, D1R signals may carry both fast action-related and slower reward-expectation components [1]. Modeling based...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P032: AnalySim data and project sharing site: admin panel, notebook and CSV browser expansion
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionIn this poster, we present the updates in the development of the AnalySim science gateway for data sharing and analysis of computational neuroscience projects. AnalySim is an open source project that runs as a web service that allows creating scientific projects and sharing them. An early testing version of the gateway is currently hosted at https://analysim.tech, supported by the...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P033: Greater segregation, not integration, accompanies increasing working memory load
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionIntroductionThe brain reorganizes its network architecture to meet cognitive demands [1], and the balance between segregated and integrated systems is thought to shift with cognitive load [2]. How system segregation changes as load increases, and whether those changes support performance, remains unresolved. This is the case particularly for working memory, where prior findings...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P034: Rising threat, merging networks: dynamic heat pain lowers segregation and turns S2, a core pain region, into an integrative hub
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionHow stronger threat reshapes large-scale brain network organization remains untested. Heightened arousal via sympathetic activation has been proposed to increase functional integration, but no study has directly tested this (1-3). We compared two equivalent heat pain stimuli, a static ramp-and-hold and a dynamically escalating profile, the latter more strongly engaging pain, threat,...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P035: Chronic Pain Uncouples Functional Brain Network Segregation From Cognitive Performance in Aging
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionChronic pain (CP) disproportionately affects older adults, not only because it is more prevalent in later life, but also because it may exacerbate cognitive aging and is associated with increased dementia risk [1]. Recent research has implicated accelerated brain aging in CP patients as a potential mechanism behind their disrupted cognitive aging [1]. However, this work remains limited...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P036: Inferring microcircuit aging from subject EEG and linking to cognitive decline
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionCognitive decline occurs in aging [1] and is accompanied by changes in electroencephalography (EEG) signals [2]. However, the cellular mechanisms underlying these EEG alterations cannot be directly assessed in living humans. Key cellular and microcircuit mechanisms implicated in human aging include reductions in inhibition from different interneuron types, dendritic spine density, and...
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Speakers
avatar for Etay Hay

Etay Hay

Scientist, Centre for Addiction and Mental Health
avatar for Alexandre Guet-McCreight

Alexandre Guet-McCreight

Postdoctoral Research Fellow, Centre for Addiction and Mental Health
I earned my PhD in Computational Neuroscience from the University of Toronto, under the supervision of Dr. Frances Skinner, with a focus on biophysical modeling of inhibitory hippocampal cells. After a postdoctoral period at the Krembil Brain Institute, I joined Dr. Etay Hay’s lab... Read More →
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P037: The effects of reduced somatostatin interneuron inhibition in depression on multilayered human cortical microcircuit activity.
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionMajor depressive disorder (depression) is associated with reduced cortical inhibition from somatostatin-expressing (SST) interneurons, as indicated by decreased SST expression in human post-mortem studies[1]. We previously showed in simulations of human cortical layer 2/3 that reduced SST interneuron inhibition would increase baseline cortical activity (noise) to significantly reduce...
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Speakers
avatar for Etay Hay

Etay Hay

Scientist, Centre for Addiction and Mental Health
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P038: Cerebellar Isolation with Multi-Modality MRI Images Using Deep Learning
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThe cerebellum is involved in motor, cognitive, and affective functions. A critical prerequisite for cerebellar MRI analyses is the isolation from the brain as spatial normalization to whole-brain templates misaligns the cerebellum, compromising accuracy. To this end, specialized tools like SUIT [1] were developed. However, current software has two key limitations: a. They were...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P039: The Self-Organization of Serotonergic Axons at the Surface of a Vertebrate Brain: A Myopic Self-Avoiding FBM Model
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionSerotonergic axons (fibers) are present in virtually all brain regions of vertebrate animals (from humans to fishes). Within these regions, individual serotonergic fibers typically grow in paths that resemble random walks with memory. At the population level, they produce regionally-specific fiber meshworks that are thought to support the neuroplasticity of local, non-serotonergic...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P040: Dendritic calcium dynamics shape functionally relevant human E-/MEG ~20Hz beta events: a biophysical modeling study
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionElectroencephalography (EEG) and Magnetoencephalography (MEG) are widely used non-invasive techniques to record electric brain activity from the human brain. While it has long been known that synchronous intracellular currents in dendrites of neocortical pyramidal neurons underlie E/MEG signals, only few theories on the computational role of E/MEG dynamics consider dendritic...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P041: Predicting natural video motion from spiking activity across the mouse visual pathway
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionVisual information from individual photoreceptors represents only simple light intensity information. More complex visual information, such as motion, is discerned by considering the combined responses from several receptors, or over a duration. The exact processes and locations at which encoding steps occur along the visual pathway are unclear. Yet, by aligning response preferences of...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P042: Neural Heterogeneity Controls Neural Network Development
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionWe study the role of interaction between synaptic plasticity rules and cellular physiology in producing useful connectivity in neural populations. We leverage two key aspects of biological neural networks: 1) neurons and the synapses connecting them are inherently diverse in their structure and electrophysiological properties, and 2) synapses are highly plastic and subject to...
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Speakers
HS

Helmut Schmidt

Scientific researcher, Institute of Computer Science, Czech Academy of Sciences
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P043: Modeling Network Effects of Transcranial Magnetic Stimulation on Obsessive Compulsive Disorder
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionTranscranial magnetic stimulation (TMS) induces electric fields (E-fields) that propagate through white matter pathways, influencing distributed brain networks beyond the stimulation site. Deep TMS using the H7 coil is an FDA-cleared treatment for obsessive-compulsive disorder (OCD), targeting the medial prefrontal cortex (mPFC) and anterior cingulate cortex (ACC), key nodes of the...
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Speakers
HS

Helmut Schmidt

Scientific researcher, Institute of Computer Science, Czech Academy of Sciences
JH

Jaroslav Hlinka

Senior researcher, Institute of Computer Science of the Czech Academy of Sciences
Currently                                I am leading the and also serve as the Head of the Department of Complex Systems and as the Chair of the Council of the of the Czech Academy of Sciences.
Brief bio After obtaining master degrees in Psychology from Charles University (2005) and in Mathematics from Czech Technical University (2006), I went on the quest of applying mathematics in helping to understand the complex activity of human brain through neuroimaging data analysis... Read More →
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P044: Discovering the dynamics of evoked responses to near-threshold tactile stimuli: A layer-specific neural mass model of the somatosensory microcircuit
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionThe processing of tactile stimuli relies on complex dynamics within cortical microcircuits. Near the perceptual threshold, unperceived stimuli evoke somatosensory responses that differ from perceived ones, a phenomenon extensively studied with EEG [1]. However, the neural mechanisms underlying this transition are poorly understood. Neural mass models are a tool to describe dynamics of...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P045: A biophysical model of coil-orientation dependent Transcranial Magnetic Stimulation (TMS) evoked I-waves in the motor cortex
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionTranscranial magnetic stimulation (TMS) is a promising non-invasive neuromodulation procedure. The magnetic field generated by the TMS coil induces a short-lasting electric field and elicits firing in targeted cortical neurons. In experiments targeting the human motor cortex, TMS produced repetitive descending cortical volleys known as D- and I-waves representing sustained strong...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P046: Phase-Dependent Deep Brain Stimulation to Suppress Pathological Neural Oscillations in Parkinson’s Disease
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionParkinson's disease (PD) is characterised by elevated oscillatory activity in the low-beta frequency range (13–20 Hz), a hallmark correlated with hypokinesia and is thought to arise from pathophysiological changes within the basal ganglia thalamocortical (BGTC) network. Phase-dependent deep brain stimulation (pdDBS) is a proposed alternative stimulation strategy to clinically...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P047: Feature Extraction of Neuronal Morphology with a Variational Auto-Encoder
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionA single pyramidal neuron can compute XOR using its dendritic structure [1]. This suggests that neuronal morphology is closely related to computational capability. Since neurons exhibit diverse morphologies [2], individual neurons may possess distinct computational capabilities. To reveal the relationship between neuronal morphology and computational capability, simulation experiments...
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Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P048: Noise-Driven Spiking Dynamics and Synchronization Transitions in an Ensemble of Neuromorphic Oscillators
Sunday July 12, 2026 4:20pm - 6:20pm ADT
IntroductionSome neural systems are assumed to operate near a critical point between order and disorder, where collective dynamics enable efficient information processing and computational capabilities [1,2]. Neuromorphic hardware systems provide an experimental platform for investigating such network dynamics in an engineered system. Networks of coupled oscillators have been proposed as promising...
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Speakers
avatar for Wilhelm Braun

Wilhelm Braun

Junior Research Group Leader, Kiel University (CAU Kiel), Faculty of Engineering, Department of Electrical and Information Engineering
Early nervous systems, functional neuronal networks, stochastic neural dynamics, animal behavior, reinforcement learning, network reconstruction
Sunday July 12, 2026 4:20pm - 6:20pm ADT
Ballroom B2
 
Monday, July 13
 

8:15am ADT

Registration
Monday July 13, 2026 8:15am - 5:00pm ADT

Monday July 13, 2026 8:15am - 5:00pm ADT
TBA

9:00am ADT

Announcements
Monday July 13, 2026 9:00am - 9:10am ADT

Monday July 13, 2026 9:00am - 9:10am ADT
Ballroom B1

9:10am ADT

Keynote 3: Blake Richards, "Exponentiated gradients support effective learning in biologically relevant scenarios"
Monday July 13, 2026 9:10am - 10:10am ADT
Computational neuroscience relies on gradient descent (GD) for training artificial neural network (ANN) models of the brain. The advantage of GD is that it is effective at learning difficult tasks. However, it produces ANNs that are a poor phenomenological fit to biology, making them less relevant as models of the brain. Specifically, it violates Dale’s law, by allowing synapses to change from...
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Monday July 13, 2026 9:10am - 10:10am ADT
Ballroom B1

10:10am ADT

Coffee break
Monday July 13, 2026 10:10am - 10:40am ADT

Monday July 13, 2026 10:10am - 10:40am ADT
Ballroom Salon

10:40am ADT

FO3: Gene Gradients Reveal Directed Structural Connectivity Across Species
Monday July 13, 2026 10:40am - 11:10am ADT
Benjamin S. Sipes*1, Ashish Raj11Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States*Email: [email protected] MRI (dMRI) tractography estimates the brain's white matter structural connectivity (SC) in vivo, but it cannot resolve the directionality of white matter pathways. Yet, much recent work has...
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Speakers
avatar for Benjamin Snow Sipes

Benjamin Snow Sipes

Graduate Student Researcher, University of California, San Francisco
My research develops computational approaches for understanding how brain structure shapes neural function. I use graph signal processing, spectral graph theory, and multimodal neuroimaging—including fMRI, diffusion MRI, and MEG—to study structure–function coupling, network... Read More →
Monday July 13, 2026 10:40am - 11:10am ADT
Ballroom B1

11:10am ADT

O9: Low-Dimensional Communication Subspaces Reveal Distributed Information Across Neural Areas
Monday July 13, 2026 11:10am - 11:30am ADT
Farzad Karimi*1,2, Javier G. Orlandi1,21Department of Physics and Astronomy, University of Calgary, Calgary, Canada2 Hotchkiss Brain Institute, University of Calgary, AB, Canada*Email: [email protected] technological advances allowing us to simultaneously record across thousands of neurons have revealed the presence of distributed representations across the brain...
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Speakers
avatar for Farzad Karimi

Farzad Karimi

PhD student
Monday July 13, 2026 11:10am - 11:30am ADT
Ballroom B1

11:30am ADT

O10: A mathematical language for large-scale spike recordings from hundreds to thousands of neurons
Monday July 13, 2026 11:30am - 11:50am ADT
Alexandra Busch*,1,2,3, Roberto Budzinski2,4, Lyle Muller1,2,31 Department of Mathematics, Western University, London ON, Canada2 Fields Lab for Network Computation, Fields Lab, Toronto ON, Canada3 Western Institute for Neuroscience, Western University, London ON, Canada4  Department of Neuroscience, University of Lethbridge, Lethbridge AB,...
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Speakers
AB

Alexandra Busch

PhD Candidate, Western University
Monday July 13, 2026 11:30am - 11:50am ADT
Ballroom B1

11:50am ADT

O11: SEM to Simulation: Bringing Ultrastructural Detail to Multiscale Modeling
Monday July 13, 2026 11:50am - 12:10pm ADT
Cecilia Romaro*1, Matei Coldea2, William W. Lytton3,4, and Robert A. McDougal1,5,6,7,81 Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States2 Yale College, Yale University, New Haven, CT, United States3 Department of Physiology and Pharmacology & Neurology, SUNY Downstate Health Sciences University, Brooklyn, New York4 Department of Neurology, Kings County...
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Speakers
Monday July 13, 2026 11:50am - 12:10pm ADT
Ballroom B1

12:10pm ADT

O12: A new platform technology to explore and leverage the computational properties of biological neural cultures
Monday July 13, 2026 12:10pm - 12:30pm ADT
Brett J. Kagan*1, David Hogan1, Andrew Doherty1,  Boon Kien Khoo1,  Johnson Zhou1,  Richard Salib1,  James Stewart1,  Kiaran Lawson1,  Alon Loeffler1,1Cortical Labs, Melbourne, Australia2 The University of Melbourne, Department of Biochemistry and Pharmacology, Parkville, Melbourne, 3000, Australia*Email:[email protected] cultures are...
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Speakers
Monday July 13, 2026 12:10pm - 12:30pm ADT
Ballroom B1

12:30pm ADT

OCNS Board Meeting
Monday July 13, 2026 12:30pm - 2:00pm ADT

Monday July 13, 2026 12:30pm - 2:00pm ADT
TBA

2:00pm ADT

FO4: Selective routing of spatial information in dentate granule cells emerges through disparate combinations of synaptic and intrinsic plasticity
Monday July 13, 2026 2:00pm - 2:30pm ADT
Sanjna Kumari*1 and Rishikesh Narayanan11 Cellular Neurophysiology Laboratory, Molecular Biophysics Unit, Indian Institute of Science, Bengaluru 560012, India*Email: [email protected] cells (GCs) in the dentate gyrus (DG) receive grid-like spatial inputs and contextual inputs from the entorhinal cortex, both broadly tuned to multiple spatial locations....
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Speakers
Monday July 13, 2026 2:00pm - 2:30pm ADT
Ballroom B1

2:30pm ADT

O13: A Developmental Ring Attractor Model for the Head Direction System
Monday July 13, 2026 2:30pm - 2:50pm ADT
Shujia Liu*1, 2, Bailu Si1, Michael Herrmann21School of Systems Science, Beijing Normal University, Beijing, China2 School of Informatics, The University of Edinburgh, Edinburgh, UK*Email: [email protected] ring attractor models hard-code and phase-biased translation kernels to obtain a stable activity profile (bump) and velocity-driven shifts [1]. This bypasses a key...
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Speakers
Monday July 13, 2026 2:30pm - 2:50pm ADT
Ballroom B1

2:50pm ADT

O14: How synchronization, excitability, and variability shape CPG rhythmic bursting sequences across different time scales
Monday July 13, 2026 2:50pm - 3:10pm ADT
Pablo Sanchez-Martin*1, Alicia Garrido-Peña1, Irene Elices1, Carlos Garcia-Saura1, Rafael Levi1, Francisco B. Rodriguez1, Pablo Varona1 1Grupo de Neurocomputación Biológica (GNB), Department of Computer Engineering, Universidad Autónoma de Madrid, Madrid, Spain*Email: [email protected] sequential activity is present in many nervous systems. Neural circuits that...
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Speakers
PS

Pablo Sanchez-Marti­n

PhD Student, Autonomous University of Madrid
Monday July 13, 2026 2:50pm - 3:10pm ADT
Ballroom B1

3:10pm ADT

O15: Exact mathematical description of computation with transient spatiotemporal dynamics in recurrent neural networks
Monday July 13, 2026 3:10pm - 3:30pm ADT
Roberto Budzinski1,2,#, Alexandra Busch2,3,4, Luisa Liboni2,5, Ján Mináč2,3, Lyle Muller2,3,41 Department of Neuroscience, University of Lethbridge, Lethbridge AB, Canada2 Fields Lab for Network Computation, Fields Lab, Toronto ON, Canada3 Department of Mathematics, Western University, London ON, Canada4 Western Institute for Neuroscience, Western University, London ON, Canada5 King's...
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Speakers
avatar for Roberto Budzinski

Roberto Budzinski

University of Lethbridge
Monday July 13, 2026 3:10pm - 3:30pm ADT
Ballroom B1

3:30pm ADT

O16: The role of cell types in critical neural activity
Monday July 13, 2026 3:30pm - 3:50pm ADT
Adrián Ponce-Alvarez*1,,2,3 and Germán Sumbre41 Departament de Matemàtiques, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain.2 Institut de Matemàtiques de la UPC - Barcelona Tech (IMTech), Barcelona, Spain.3 Centre de Recerca Matemàtica, Barcelona, Spain.4 Institut de Biologie de l’ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM,...
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Speakers
avatar for Adrián Ponce-Alvarez

Adrián Ponce-Alvarez

postdoc, Polytechnic University of Catalonia
Monday July 13, 2026 3:30pm - 3:50pm ADT
Ballroom B1

3:50pm ADT

Coffee break
Monday July 13, 2026 3:50pm - 4:20pm ADT

Monday July 13, 2026 3:50pm - 4:20pm ADT
Ballroom Salon

4:20pm ADT

Poster Session 2
Monday July 13, 2026 4:20pm - 6:20pm ADT

Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P049: Extracellular dipole and quadrupole fields from axonal branching patterns
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionWhile the fields of extracellular neural recordings are well understood and mostly dominated by the somatic spikes and dendritic activity [1,2], there are some unnecessarily neglected sources. One of these is axonal branching patterns, that can under correct circumstances make a large contribution extracellularly to both near and far fields. These circumstances include, e.g., a...
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Speakers
avatar for Paula Kuokkanen

Paula Kuokkanen

Principal Investigator, Humboldt-Universitaet zu Berlin
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P050: Fano-like information filtering profiles in coupled neuronal models.
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionSubthreshold dynamics play a key role in spike generation, and it is well-known that some neurons exhibit a frequency preference when integrating subthreshold input– so-called resonators [1,2]. It has been shown, however, that despite the existence of subthreshold resonance, a single resonator neuron exhibits low-pass, i.e., monotonic, information filtering (as measured by the...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P051: Stimulation Induced Effects on the Collective Dynamics of a Recurrently-Connected Excitatory-Inhibitory Network
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionElectrical stimulation has been used as a treatment of a variety of neurological disorders, including Parkinson’s Disease (PD) [1]. Despite its efficacy, its mechanism of action on the modulation of network-level dynamics to alleviate symptoms is not fully understood. Previous computational work has addressed stimulation effects at the cellular and synaptic level, but the underlying...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P052: Recurrent Inhibition Drives Frequency-Selective Deep Brain Stimulation Efficacy via Bistability and Hopf Bifurcation in a Continuous Attractor Network
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionDBS alleviates Parkinsonian symptoms at high frequencies (>90 Hz) yet worsens them at low frequencies (<60 Hz) across STN, GPi, VIM, and SNr; no mechanism explains why frequency alone reverses outcome [1,2]. Pathological beta-band (13–30 Hz) synchronisation in the basal ganglia–thalamocortical loop is the hallmark of Parkinson's disease (PD); its suppression is the leading...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P053: Decoding decisions from neuronal activity in different animals with canonical correlation analysis
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionRecent studies have investigated the geometric similarity of task structure by developing novel approaches to decode of brain states across animals [1,2,3]. The extent to which neuronal representations are similar within an animal at disparate times or between different animals performing the same task is not well understood. Quantifying the representational similarity of brain states...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P054: Single-cell adaptation makes heterogeneity a dynamic feature of neural networks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThroughout biology, diversity plays an important role in maintaining robustness and stability [1]. The same is true of the brain [2], where recent datasets [3,4] have shown widespread heterogeneity, marking it as an unavoidable component of neuronal composition. While heterogeneity has been linked to stability and increased computational potential [2], recent experiments have shown its...
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Speakers
avatar for Jeremie Lefebvre

Jeremie Lefebvre

Associate Professor, University of Ottawa
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P055: Thalamocortical myelination controls cortical states
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionMyelin maintains the precise timing and coordination of neural signalling by regulating action potential conduction. Maladaptive myelination disrupts this process and underlies many neurological disorders [1]. We recently showed that cortical demyelination induced by cuprizone, a central nervous system demyelinating drug, shifts cortical excitability and synchrony, leading to motor...
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Speakers
avatar for Jeremie Lefebvre

Jeremie Lefebvre

Associate Professor, University of Ottawa
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P056: Hippocampus-Inspired Artificial Neural Network Enables Robust Classification under Sparsity: Structured versus Brute-Force Robustness
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionWe investigate robustness to structural sparsity in a hippocampus-inspired artificial neural network (OurANN) for image classification. OurANN is composed of functional modules—dentate gyrus (DG), CA3, and CA1—rather than conventional hidden layers (see Figure 1). DG enforces sparse competitive representations, CA3 provides recurrent stabilization, CA1 integrates stabilized...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P057: Input-side Competition Predicts Action Selection and Switching in The Basal Ganglia
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionAction selection in the basal ganglia (BG) is often inferred from the mean firing rate (MFR) of the output nucleus, substantia nigra pars reticulata (SNr). Because SNr MFR is ultimately driven by its synaptic inputs, we introduce the competition degree Cd, an input-side indicator that directly quantifies how Direct Pathway (DP) and Indirect Pathway (IP) inputs determine selection among...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P058: Direct Quantification of Stability for Linear Dynamical Systems on Networks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionStability, the ability of a system to return to a steady state after perturbation, is a fundamental property of dynamics on networks, critical in brain networks with regards to epilepsy for example, and in other contexts ranging from ecological networks to power grids. Despite its importance, existing approaches to stability assessment, such as linear stability analysis based on the...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P059: Whole-brain effective connectivity from residual-based ridge regression in resting-state fMRI
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionLinear predictive models provide a computationally efficient starting point for estimating effective connectivity. However, multicollinearity of fMRI is a major challenge, which may cause overfitting and instability. Previous approaches have used partial conditioning or sparse modelling to reduce overfitting which may exclude relevant predictors [1]. Moreover, low-frequency BOLD...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P060: Biological Reservoir Computing in Modular Human iPSC-Derived Neuronal Networks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionWhile human brain mapping characterizes these relationships at the macroscale, advancements in Synthetic Biological Intelligence (SBI) now allow us to investigate them in controllable, human iPSC-derived neural systems [1]. To systematically probe these mesoscale dynamics, we utilized the CL1 platform, which facilitates high-level programmability of in vitro networks, allowing for...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P061: Learning Conduction Delay Distributions from Neural Activity to Study Stability in Delayed Nonlinear Neural Networks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionConduction delays between brain regions play a central role in regulating largescale neural dynamics. Plastic changes in white matter modify said delays, altering network stability, synchronization and gain in nonlinear neural systems [1, 2, 3]. However, most theoretical studies assume either simplified or fixed delay structures, while experimentally measured delay statistics remain...
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Speakers
avatar for Jeremie Lefebvre

Jeremie Lefebvre

Associate Professor, University of Ottawa
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P062: Mutual information of time sequences in working memory is maximized by parametric heterogeneity in response adaptation and threshold
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionIt is crucial for an animal’s survival to remember the path taken to reach an important area of a new environment. In the weakly electric fish, neurons in a thalamic-like region respond to encounters with new objects in bursts whose intensity depends on the time elapsed between events, a viable strategy to encode spatial information [1]. It was recently shown that, with such adaptive...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P063: Shared dynamics between active sensing movements and rate-based sensory sampling in electric fish
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionMost forms of sensory sampling are performed actively [1,2]. Uncovering the general principles that underly active sensing is thus important for fully understanding animal behaviour. In particular, active sensing movements are an integral part of behavioural repertoires. These movements are often performed rhythmically, and some hypothesize that their frequencies match the intrinsic...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P064: Complementary roles of neuronal and synaptic adaptation in regulating network stability
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionRecurrent connectivity and nonlinearity make neural networks inherently susceptible to destabilization by fluctuating input, yet the brain must maintain a consistent level of stability. Near the edge of chaos, decodable information persists over extended timescales. However, in sparse networks obeying Dale's law, structural balance alone cannot constrain destabilizing eigenvalue...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P065: Characterizing Epileptic Brain Dynamics Through Fractional-Order Modelling
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionDrug-resistant focal epilepsy often requires identifying the seizure onset zone (SOZ) for resection or neuromodulation, yet objective biomarkers of SOZ excitability remain limited. Neural adaptation across multiple timescales can reshape EEG power spectra and can be parameterized using fractional-order dynamics. We hypothesize that the fractional order (alpha) of a fractional neuronal...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P066: Variability and Degeneracy In Simulations of Primary Motor Cortex Pyramidal Tract Neurons
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThe layer 5B pyramidal neurons (PT5B) are the final output of the primary motor cortex (M1). They suffer from reduced intrinsic excitability in a Parkinsonian mouse model[1]. There is considerable heterogeneity within the population, with evidence from both electrophysiology and single-cell RNA sequencing[2]. We also suspect there is considerable degeneracy, where multiple...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P067: Modeling spreading depolarization in neocortical microcircuits
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionSpreading depolarizations are waves of brief neuronal hyperexcitability followed by prolonged depolarization that propagates through grey matter at a rate of 1–9mm/min. Such waves are associated with multiple neurological disorders, including epilepsy, ischemic stroke, and migraine aura. Neurons are susceptible to SD due to their high energy demand, particularly for restoring ion...
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Speakers
avatar for Robert McDougal

Robert McDougal

Associate Professor, Yale University
Looking for a postgrad or postdoc position implementing simulation methods? I'm hiring.I'm an Associate Professor in the Health Informatics division of Biostatistics, and a developer for NEURON and ModelDB. Computationally and mathematically, I'm interested in dynamical systems modeling... Read More →
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P068: A novel method to characterize spatiotemporal propagation
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionIn a recent study on wide-field calcium images in mice before and after stroke [1] singular value decomposition (SVD) was used to perform a spatiotemporal analysis of movement-evoked global cortical events. Indicators such as angle and smoothness of the propagation were defined that allowed to compare different stroke rehabilitation therapies. This method worked because the events...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P069: EFFECT OF Ca2+ BUFFERS WITH MULTIPLE BINDING SITES ON SHORT-TERM SYNAPTIC PLASTICITY
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionCa2+ions are essential for triggering and modulating synaptic neurotransmitter release. Since most Ca2+entering the cell is quickly bound by Ca2+ buffers, these molecules strongly shape the synaptic dynamics.Two mechanisms have been proposed for buffer-driven short-term synaptic changes: (1) facilitation bybuffer saturation [1–3], and (2) facilitation by translocation of...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P070: Modeling of Cross-Frequency Brain Dynamics in Mice Cortical Region
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionLarge-scale brain activity shows complex dynamics that can be better interpreted through mathematical modeling. The very nature of neural activity - multi-scale, noisy, nonstationary, and highly variable across space and subjects - makes it difficult to define a model that is both computationally feasible and biologically meaningful. Here, we focus on the oscillatory components of this...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P071: Balanced E–I gain sets spike predictability from synaptic history
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionNeurons encode, compute, and transmit information through spikes, yet the functional meaning of a spike depends on how reliably it reflects the recent synaptic events that generated it. In many neural circuits, excitation and inhibition are co-active and approximately balanced, placing neurons in a conductance-driven regime where spike timing emerges from the interaction between fast...
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Speakers
avatar for Robert McDougal

Robert McDougal

Associate Professor, Yale University
Looking for a postgrad or postdoc position implementing simulation methods? I'm hiring.I'm an Associate Professor in the Health Informatics division of Biostatistics, and a developer for NEURON and ModelDB. Computationally and mathematically, I'm interested in dynamical systems modeling... Read More →
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P072: Event-based machine-learned reduction of biophysically detailed neuron models
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionBiophysical models impose substantial computational burdens, limiting large-scale simulation of complex neuronal dynamics, particularly with morphologically detailed neuron models. Previous evidence [1] suggests that the neuronal spiking behavior is primarily constrained by recent causal stimulus events rather than continuous full-timescale integration, which makes event-driven...
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Speakers
avatar for Robert McDougal

Robert McDougal

Associate Professor, Yale University
Looking for a postgrad or postdoc position implementing simulation methods? I'm hiring.I'm an Associate Professor in the Health Informatics division of Biostatistics, and a developer for NEURON and ModelDB. Computationally and mathematically, I'm interested in dynamical systems modeling... Read More →
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P073: Evaluating parameter space stiffness of maximum entropy models and departure from criticality
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThe emergence of collective behaviour in biological systems remains to be fully understood. Models inspired by statistical physics, where neurons are treated as Ising-like variables, provide an appealing approach to fill this conceptual gap. They offer, notably, a principled framework for inferring the effective interactions and constraints that shape the collective activity, as well a...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P074: Dynamic Functional Connectivity Resolves Brain Integration-Segregation Trade-off Under Costly Links
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionDynamic functional connectivity (dFC) is a pervasive feature of brain activity, even at rest, but its functional role remains debated. We ask whether temporal reconfiguration of functional links can be advantageous when maintaining links is costly. We hypothesize that dFC helps resolve the trade-off between large-scale integration and transient local segregation by reusing a limited...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P075: Simulating bilingual naming in laterally-connected self-organizing maps
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThe BiLex model simulates the bilingual language system: two phonetic self-organizing maps (SOMs) represent English and Spanish words, linked to a shared semantic map via bidirectional associative connections (Fig.1a) [1]. Traditional SOMs use neighborhood activations; the laterally-connected BiLex uses short-range excitation and long-range inhibition, enabling mechanistic examination...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P076: A Recurrent Circuit for Two Streams of Evidence Accumulation As a Decision-Making Model
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionMany decisions require combining multiple evidence streams into a single action. In the human double-decision random-dot task, participants view moving colored dots and report a single choice among four spatial targets that jointly encode motion direction (left/right) and dominant color (blue/yellow) [1].  Motion and color coherences jointly determine the correct target. We show...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P077: Homophily-informed generative models of brain maps
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionWhole-brain maps of structural and functional features provide complementary views of cortical organization [1]. Despite their diversity, these maps exhibit structured spatial patterns, suggesting that common organizing principles shape the topographic distribution of biological features across the cortex. To better understand the underlying forces shaping brain organization, we...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P078: Identifying Neural Markers of Chronic Pain in Children with Cerebral Palsy Using Electroencephalography and Machine Learning
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionCerebral palsy (CP) is the most common childhood motor disability, with a prevalence of 1.6 per 1000 births worldwide [1]. A common symptom of CP is chronic pain, with 76% of children experiencing pain, and 33% experiencing chronic pain [2]. Existing pain assessment tools rely on self- or proxy-reporting, limiting their utility for children with communication or cognitive impairments...
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Speakers
AM

Ariel Motsenyat

Graduate Student, University of Toronto
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P079: Competitive dynamics in a biophysical model of rat somatosensory cortex
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThe neocortex not only has the ability to represent stimuli, but it also needs to be able to categorize them for fast and efficient processing. Research has shown discrete representation in the primary auditory cortex when presented with ambiguous stimuli [1]. We hypothesize that this mutually exclusive dynamic is possible through competitive interaction between different neuronal...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P080: The Synapse-Pairing Tradeoff: How Clustering, Bursts, and Dendritic Location Enable Robust Plasticity In-Vivo
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionCortical representations are thought to arise from stable network motifs formed by neuronal assemblies, with synaptic plasticity between pyramidal cells (PCs) playing a central role in their formation, competition, and maintenance. While rules governing such synaptic changes have been well characterized in slice conditions, their implications for learning in awake behaving animals...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P081: Estimating spiking activity of cerebellar projections to the substantia nigra dopaminergic neurons during a Pavlovian task
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionImaging using GECIs is a common technique utilized to measure neuronal activity [1]. This method, however, provides a proxy for neuronal activity and extracting the spiking activity from the observed fluorescence remains an open problem [2]. We utilize a set of differential equations to infer the underlying spike train from fluorescence recordings done in mice.MethodsWe started from...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P082: Balancing stability and flexibility: a meta-learning algorithm for behavioral adaptation in mice
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionLearning through trial and error (reinforcement learning, RL) enables animals to adapt their behaviorin dynamic environments. Updating behavior based on reward prediction errors requires balancing stabilityand flexibility: learners should avoid overreacting to noise while remaining sensitive to genuine environ-mental changes [1]. Here, we investigated how mice adjust their learning...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P083: Biophysical model of auditory thalamocortical circuit reveals GABAB-dependent control of N1 deficits in Schizophrenia
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionAuditory processing deficits are a core feature of schizophrenia (SZ). The N1 component of the auditory evoked potential (AEP) is reduced in SZ. N1 refractory curves describe increasing N1 amplitudes with longer inter-stimulus intervals (ISIs), suggesting dependence on slow synaptic mechanisms, including GABAB and NMDA receptors. Using a biophysical model of macaque primary auditory...
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Speakers
SD

Salvador Dura-Bernal

SUNY Downstate, USA
EI

Ethan Irby

Volunteer Researcher, Nathan Kline Institute for Psychiatric Research
I am a Data Scientist and Computational Neuroscientist interested in studying psychiatric disorders and neurodegenerative disease using a biophysical modeling approach.
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P084: Mapping excitation-inhibition balance in schizophrenia with white-matter-microstructure informed modeling
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionProviding early diagnosis and personalized treatment for psychiatric disorders like schizophrenia remains challenging, due to important interpersonal differences and still elusive neuronal mechanisms. Whole-brain network models show promising results with clinical relevance for individualized treatment recommendations in neurological disorders. However, their applicability to...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P085: Effect of visual distortion on the perception of straight lines and reaching trajectories
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionThe crystalline lens or eyeglasses induce spatial distortion of images on the retina, and the nervous system itself can introduce perceptual distortion. A previous study showed a correlation between perceptual distortion and the curvature of hand trajectories during reaching movements [1]. This suggests that perceptual distortion affects motor planning. On the other hand, adaptation to...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P086: Examining mnemonic discrimination performance in a hippocampus model using the mnemonic similarity task
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionMnemonic Discrimination (MD) refers to the ability to distinguish novel stimuli from similar memories [1]. It is hypothesized to involve dentate gyrus (DG) pattern separation (PS) [1], which is impaired by the hyperactivity of DG granule cells (DGGCs). DGGC hyperactivity has been found in bipolar disorder [2]; such hyperactivity may subsequently impair MD. It is unclear whether DG PS...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P087: High‑Order Interactions Predict the Dimensionality of Recurrent Hidden Dynamics Across Cognitive Tasks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionA central challenge in neuroscience is to understand how collective computations arise from the coordinated activity of many interacting units. High order interactions (HOIs)—statistical dependencies not reducible to pairwise relations—offer a principled way to quantify such emergent structure. Yet, the mechanisms that generate HOIs and their relationship to the geometry of...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P088: From Pixels to Percepts: Understanding Texture Discrimination in the Mouse Visual Cortex
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionVisual textures, like blades of grass or bark on a tree, are pervasive in the natural world. These patterns, characterized by statistical regularities across spatial scales, help animals navigate the world and categorize their surroundings[1]. Textures are quite complex, yet can be readily synthesized and parameterized by computational models, hence they offer a useful entry point for...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P089: Biologically plausible Dopamine-Modulated STDP Model of Pavlovian Learning in Spiking Neural Networks
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionDopamine-modulated STDP is a key implementation of the three-factor learning rule, in which synaptic changes depend on pre- and postsynaptic activity and a modulatory signal. Izhikevich's model introduced an eligibility trace that enables delayed dopaminergic rewards to reinforce earlier neural activity, supporting reward-based learning in recurrent spiking neural networks [1]....
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P090: Modeling and Analytical Characterization of Neuronal Networks Constructed from Reservoir Computing Based Model
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionElectrophysiological studies in neuroscience probe interactions among neuronal populations across multiple scales, from single-cell activity to large network dynamics [1,2]. Here, we present a computational framework to decode signals from microelectrode array (MEA) recordings [3]. The model is based on Reservoir Computing (RC) and learns spike-rate sequences to reproduce network...
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Speakers
IA

Ilya Auslender

Assistant Professor, University of Trento
As researcher at Università di Trento, I am working on an interdisciplinary project that combines electrophysiology, optogenetics, and machine learning to study neuronal cultures and their responses.
Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P091: The Drosophila connectome reveals axo-axonic synapses on descending neurons
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionAxo-axonic synapses can veto, amplify, or synchronize spikes, yet their circuit-scale logic is unknown. Using the complete electron-microscopy connectome of the adult male Drosophila ventral nerve cord (MANC v1.2.1), we charted every axo-axonic input onto the 1,314 descending neurons that carry brain commands to the ventral nerve cord.MethodsA split-Gal4 driver specific to axo-axonic...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P092: A Proposed Etiological, Pathophysiological, and Rehabilitative Framework for Focal Task-Specific Dystonia: A Theoretical-Empirical Approach
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionFocal task-specific dystonia (FTSD) is an isolated dystonia in which abnormal contractions emerge during a particular motor activity or task while other movements remain relatively spared [1]. We propose that FTSD arises when a task-specific motor synergy (TSMS) in primary motor cortex (M1) develops excitatory synapses that outpace parvalbumin (PV)-mediated inhibitory synapses, a...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P093: Stabilizing Fractional Dynamical Networks Effectively Suppresses Epileptic Seizures
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionFor 15 million patients worldwide with drug-resistant epilepsy, neurostimulation is a promising solution to counteract seizure activity [1]. However, current neurostimulation devices are unable to provide personalized or adaptive care due to their over reliance on pre-programmed responses that use fixed stimulation parameters [2]. A new framework for characterizing...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P094: Neuron–Astrocyte Coupling Regulates Ion Homeostasis and Neuronal Excitability in a Multi-Compartment Model
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionNeuronal excitability depends on transmembrane gradients of sodium (Na), potassium (K), and chloride (Cl). Astrocytes contribute to ionic homeostasis by regulating extracellular ion concentrations through membrane channels, transporters, and spatial buffering across their extended processes and syncytial networks [1]. Among the main pathways are K uptake via astrocytic Na/K-ATPase...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

4:20pm ADT

P095: Universal rules for growing artificial astrocytes at electron microscopy resolution
Monday July 13, 2026 4:20pm - 6:20pm ADT
IntroductionAstrocytes are ubiquitous glial cells of the cortex which display a complex ramified anatomy. Astrocyte processes envelop synapses and dendrites, mediating diverse neuromodulatory pathways. While it is speculated that the domain of astrocyte-mediated neuromodulation is influenced by their anatomy, it is currently unknown what the stereotypical shape of an astrocyte is, beyond the...
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Monday July 13, 2026 4:20pm - 6:20pm ADT
Ballroom B2

7:45pm ADT

Banquet Dinner
Monday July 13, 2026 7:45pm - 9:45pm ADT

Monday July 13, 2026 7:45pm - 9:45pm ADT
TBA
 
Tuesday, July 14
 

8:15am ADT

Registration
Tuesday July 14, 2026 8:15am - 5:00pm ADT

Tuesday July 14, 2026 8:15am - 5:00pm ADT
TBA

9:00am ADT

9:00am ADT

Constraining large-scale models of brain dynamics with local biological properties: Methods and applications
Tuesday July 14, 2026 9:00am - 12:30pm ADT
A central challenge in neuroscience is understanding how brain structure gives rise to complex, large-scale brain dynamics when local biological properties vary systematically across brain regions rather than being spatially uniform. Converging evidence from connectomics, transcriptomics, myeloarchitecture, chemoarchitecture, and other tissue-level measurements demonstrates that such regional...
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Speakers
JP

James Pang

Senior Research Fellow, Monash University
Head, Computational and Comparative Brain Dynamics (CoCoDyn) Lab at the Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 504

9:00am ADT

Controlling Neural Network Stability
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Summary:Neural systems are highly recurrent, nonlinear networks that must balance stability and flexibility to support robust information processing. A growing body of theory suggests that the brain operates near critical regimes, often described as the edge of chaos, where dynamics are both stable enough to be controllable and rich enough to enable valuable computation. Maintaining this balance...
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Speakers
BL

Brian Lundstrom

Associate Professor, Mayo Clinic
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 507

9:00am ADT

Mapping extracellular waveforms produced by the three neuronal compartments
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Detecting and sorting available extracellular neuronal action potentials remains challenging in neuroscience. This bottleneck stems from uncertainty about the origin of a substantial fraction of the signals present in electrophysiological recordings, leading to systematic removal of a fraction of the recordings. Aiming for generalizable solutions, this...
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Speakers
avatar for Paula Kuokkanen

Paula Kuokkanen

Principal Investigator, Humboldt-Universitaet zu Berlin
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 505

9:00am ADT

Modeling Ion Dynamics in the Brain: From Cells to Networks and Global (Dys)-Functional States
Tuesday July 14, 2026 9:00am - 12:30pm ADT
The schedule and abstracts are available at: https://brady.cs.cas.cz/events/ocns-2026-workshopIon balance is a fundamental determinant of brain physiology, and its dysregulation contributes to a wide range of neurological disorders. Understanding how ion equilibria are established, maintained, and disrupted across spatial and temporal scales remains a central challenge in neuroscience....
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Speakers
HS

Helmut Schmidt

Scientific researcher, Institute of Computer Science, Czech Academy of Sciences
JH

Jaroslav Hlinka

Senior researcher, Institute of Computer Science of the Czech Academy of Sciences
Currently                                I am leading the and also serve as the Head of the Department of Complex Systems and as the Chair of the Council of the of the Czech Academy of Sciences.
Brief bio After obtaining master degrees in Psychology from Charles University (2005) and in Mathematics from Czech Technical University (2006), I went on the quest of applying mathematics in helping to understand the complex activity of human brain through neuroimaging data analysis... Read More →
GG

Guillaume Girier

Postdoc, INSTITUTE OF COMPUTER SCIENCE The Czech Academy of Sciences
ID

Isa Dallmer-Zerbe

PhD Student, Czech Aacademy of Sciences

Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 502

9:00am ADT

Neuronal heterogeneity’s role in network dynamics and computation
Tuesday July 14, 2026 9:00am - 12:30pm ADT
The detailed agenda for this workshop, along with abstracts for each talk, can be found here.As high-throughput single-cell experimental workflows become standard in the field of neuroscience, the immense heterogeneity of neurons in the human brain has become increasingly apparent. While this heterogeneity is in part reflected in the historical pursuit of canonical “cell types,” contemporary...
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Speakers
avatar for Scott Rich

Scott Rich

Assistant Professor, University of Connecticut
I am an Assistant Professor at the University of Connecticut, having opened my lab in the Department of Physiology and Neurobiology in January 2024.

The Rich Lab uses computational neuroscience in research centered on a fundamental question: How does the brain benefit from biophysical diversity at the level of neurons and microcircuits? The lab utilizes a wealth of tools from computational neuroscience, including the creation... Read More →
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 501

9:00am ADT

Social Neuro-AI
Tuesday July 14, 2026 9:00am - 12:30pm ADT

Speakers
avatar for Guillaume Dumas

Guillaume Dumas

Associate Professor, Université de Montréal
Tuesday July 14, 2026 9:00am - 12:30pm ADT
Room 602

9:00am ADT

Evolution, Computation and the Origins of Nervous Systems: from Animal Models to Neuromorphic Engineering
Tuesday July 14, 2026 9:00am - Wednesday July 15, 2026 12:30pm ADT
Workshop descriptionEven putatively simple nervous systems exhibit a high degree of complexity that is not fully understood. The recent discovery of associative learning in box jellyfish, for example, highlights the surprisingly rich behavioural repertoire of such networks and invites a more in-depth study of the underlying neural mechanisms. These insights serve as a promising inspiration to...
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Speakers
JS

Jan Steinkuehler

Assistant Professor, Kiel University
avatar for Wilhelm Braun

Wilhelm Braun

Junior Research Group Leader, Kiel University (CAU Kiel), Faculty of Engineering, Department of Electrical and Information Engineering
Early nervous systems, functional neuronal networks, stochastic neural dynamics, animal behavior, reinforcement learning, network reconstruction

Tuesday July 14, 2026 9:00am - Wednesday July 15, 2026 12:30pm ADT
Room 603

9:00am ADT

Workshop on Methods of Information Theory in Computational Neuroscience
Tuesday July 14, 2026 9:00am - Wednesday July 15, 2026 5:30pm ADT
Workshop website (including full schedule): https://jlizier.github.io/CNS2026-InfoTheoryWorkshop/Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience. A number of researchers in computational/systems...
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Speakers
avatar for Joseph T. Lizier

Joseph T. Lizier

Associate Professor, Centre for Complex Systems, The University of Sydney
My research focusses on studying the dynamics of information processing in biological and bio-inspired complex systems and networks, using tools from information theory such as transfer entropy to reveal when and where in a complex system information is being stored, transferred and... Read More →
avatar for Marilyn Gatica

Marilyn Gatica

Postdoctoral Research Assistant, Northeastern University London
Tuesday July 14, 2026 9:00am - Wednesday July 15, 2026 5:30pm ADT
Room 604

2:10pm ADT

Keynote 4
Tuesday July 14, 2026 2:10pm - 3:20pm ADT

Tuesday July 14, 2026 2:10pm - 3:20pm ADT
Ballroom B1

3:20pm ADT

Conference Photo
Tuesday July 14, 2026 3:20pm - 3:30pm ADT

Tuesday July 14, 2026 3:20pm - 3:30pm ADT
TBA

3:30pm ADT

Coffee break
Tuesday July 14, 2026 3:30pm - 4:00pm ADT

Tuesday July 14, 2026 3:30pm - 4:00pm ADT
Ballroom Salon

4:00pm ADT

Member's meeting
Tuesday July 14, 2026 4:00pm - 5:00pm ADT

Tuesday July 14, 2026 4:00pm - 5:00pm ADT
Ballroom B1

5:00pm ADT

Poster Session 3
Tuesday July 14, 2026 5:00pm - 7:00pm ADT

Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P096: Toward Auditory-Like Sparse Representations: Adaptive Central Frequencies Locally Competitive Algorithm for Efficient Neuromorphic Speech Recognition
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThe auditory periphery efficiently transmits sparsely encoded information to cochlear nuclei and higher centers while preserving acoustic features. Lateral inhibition among cochlear hair cells and cochlear nucleus neurons increases sparsity, improves frequency selectivity and resolution. Outer hair cells (OHC) dynamically modulate cochlear responses through stiffness changes,...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P097: How Axon Refractory Dynamics and Ionic Excitability Shape Peripheral Nerve Stimulation Responses
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionOptimizing peripheral nerve stimulation is crucial for improving clinical outcomes in neural prosthetics and bioelectronics medicines. The effects of extracellular electrical stimulation of peripheral myelinated axons depend jointly on the stimulus amplitude, waveform, and frequency. This work shows that variation in the waveform configuration (monophasic and biphasic with and without...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P098: CompNeuroVis: Connecting Existing Computational Neuroscience Workflows to Interactive Applications
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionUnderstanding and developing computational models of neurons relies on complementary views, such as voltage traces, activity mapped onto morphology, and channel kinetics. Interactive adjustment of parameters can further expose how model mechanisms shape dynamics. Existing support spans simulator-native interfaces [1], model platforms [2,3], network builders [4], and model-tuning...
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Speakers
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P099: Hierarchical Multi-Timescale learning in a mushroom body network model
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionIn Drosophila melanogaster, associative learning occurs in the mushroom body, where synapses between Kenyon cells (KCs) and mushroom body output neurons (MBONs)[1] are modulated by dopaminergic neurons (DANs) that convey reinforcement signals. KC–MBON–DAN circuits form parallel functional units that influence behaviour [2], and distinct learning...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P100: JARDESIGNER: Installation-free in-browser modeling of multiscale models with signaling and conductances in multicompartment neurons.
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionNeuronal model building remains a challenge despite highly capable simulator platforms [1,2]. This is even more the case for multiscale models spanning molecular to electrophysiological detail, which are increasingly relevant for modeling plasticity, neuromodulation and long time-scale neuronal dynamics. Recent GUIs such as DendroTweaks have simplified electrophysiology modeling [3],...
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Speakers
avatar for Upinder Singh Bhalla

Upinder Singh Bhalla

Professor, NCBS/TIFR
Multiscale modelling of neurons especially in synaptic plasticity: including chemical and electrical signaling, traffic and mechanical changes. Tool development for all of these, including GENESIS, MOOSE, FindSim and more.
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P101: BrainSymphony Reveals Psilocybin-Induced Network Reorganization
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionfMRI foundation models have grown rapidly in size [1-2], but scale may be suboptimal for neuroimaging given domain constraints and interpretability needs. BrainSymphony instead embeds neurobiological priors to build a lightweight, parameter-efficient, multimodal model capturing spatiotemporal BOLD dynamics and diffusion-MRI connectivity. We test out-of-distribution generalization on...
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Speakers
MK

Moein Khajehnejad

Post-doctoral Research Fellow, Monash University
I am a post-doctoral research fellow in Monash Data Future Institute and Computational & Systems Neuroscience Laboratory at Turner Institute for Brain and Mental Health at Monash University working with Prof. Adeel Razi.
I am passionate about advancing Foundation Models in Neuro... Read More →
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P102: Long-timescale Plasticity Mediated by ER-Dependent Synaptic Stabilization
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionBridging the short-timescale of classic Hebbian learning and long-timescale of behavioral memory remains a challenge in the study of synaptic plasticity. The synaptic tag-and-capture theory proposes that activity-dependent molecular markers enable a state of synaptic stability [1], and it has been shown theoretically that multiple stability states enhance memory capacity [2]....
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Speakers
avatar for Scott Rich

Scott Rich

Assistant Professor, University of Connecticut
I am an Assistant Professor at the University of Connecticut, having opened my lab in the Department of Physiology and Neurobiology in January 2024.

The Rich Lab uses computational neuroscience in research centered on a fundamental question: How does the brain benefit from biophysical diversity at the level of neurons and microcircuits? The lab utilizes a wealth of tools from computational neuroscience, including the creation... Read More →
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P103: Pathological cortical oscillations disrupted by the cholinergic response to vagus nerve stimulation
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionWhile vagus nerve stimulation (VNS) coupled with motor rehabilitation significantly improves post-stroke recovery [1], its mechanism of action remains poorly understood. Preclinical studies indicate that VNS enhances motor learning when stimulation is precisely paired with task success [2,3], with cholinergic neuromodulation necessary for these effects [4]. These findings collectively...
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Speakers
avatar for Scott Rich

Scott Rich

Assistant Professor, University of Connecticut
I am an Assistant Professor at the University of Connecticut, having opened my lab in the Department of Physiology and Neurobiology in January 2024.

The Rich Lab uses computational neuroscience in research centered on a fundamental question: How does the brain benefit from biophysical diversity at the level of neurons and microcircuits? The lab utilizes a wealth of tools from computational neuroscience, including the creation... Read More →
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P104: Characterization of nontrivial voltage noise in electrosensory pyramidal neurons
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThe stochastic flickering of ion channels is known to cause ongoing membrane potential fluctuations in neurons [1]. This channel noise is often considered negligible when compared to synaptic noise, yet it can shape the integrative properties of neurons [2]. Here, we show that valuable information on a neuron's intrinsic dynamics can be extracted by closely inspecting recordings of...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P105: Gamma Oscillations in Conductance-Based QIF Networks: A Three-Stage Progression and Its Limits
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionGamma oscillations in cortical circuits are often modeled through excitatory-inhibitory (E-I) interactions underlying Pyramidal-Interneuron Network Gamma (PING) or through inhibitory interactions underlying Interneuron Network Gamma (ING). Quadratic integrate-and-fire (QIF) neuron models are widely used in modeling such dynamics because they support a direct correspondence between...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P106: Controlling the Speed–Accuracy Trade-Off in Brain–Computer Interfaces
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionBrain–computer interfaces (BCIs) decode brain signals into device commands [1]. Their performance is limited by a low signal-to-noise ratio, leading to a speed–accuracy trade-off: increasing accuracy through trial averaging requires more trials and reduces communication speed [2]. Existing metrics, such as the Information Transfer Rate (ITR) or BCI-Utility [3], obscure how accuracy...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P107: Resonance-Driven Phase Locking and Temporal Coding in CA1 Pyramidal Neurons
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionNeural oscillations in the hippocampus at theta and gamma bands are believed to support temporal coding in memory and learning [2]. We hypothesize that intrinsic theta resonance in hippocampal CA1 pyramidal neurons facilitate frequency-selective enhancement and phase locking required for precise phase coding. Through computational (biophysically plausible) network models and Simulation...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P108: Computational Phenotyping of Neurotrauma Using High-Throughput Actigraphy-Derived Sleep Signatures
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionSleep disturbance is a common consequence of neurotrauma, including traumatic brain injury (TBI) and spinal cord injury (SCI), yet objective biomarkers capable of distinguishing injury type remain limited. Wearable actigraphy generates high-dimensional physiological time-series data that may contain latent signatures of injury-related sleep disruption. Although sleep disturbances also...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P109: Imperfectly synchronous dynamics of gamma rhythms and its response to network inputs
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionTemporal patterning of neural synchronization was observed to be related to symptoms of multiple neurological and neuropsychiatric disorders. In particular, alterations in the patterns of intermittent synchrony in multiple spectral bands (including gamma band) were found in autism spectrum disorder (ASD), Alzheimer’s disease (AD), and frontotemporal dementia (FTD) as demonstrated in...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P110: The thalamocortical spiking model demonstrating the kinetics of sleep spindle suppression upon noradrenergic neuromodulation
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThe sleep spindles are a characteristic oscillatory EEG pattern occurring during NREM and are their presence is controlled by the noradrenaline released from the Locus Coeruleus (LC). Current consensus attributes the noradrenaline effects to slow depolarization caused by a reduction in the potassium leak current conductance mediated by the α1 adrenergic receptors, although role of β1...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P111: VIP-Mediated Attentional Modulation of Persistent Activity in a Cortical Microcircuit Model
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionPersistent neuronal activity is a proposed neural mechanism supporting the maintenance of information in working memory (WM) [1]. Attention is known to influence WM performance and the stability of internal representations [2]. However, how attentional signals modulate the circuit mechanisms that generate persistent activity remains insufficiently explored in computational models. In...
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Speakers
HS

Helmut Schmidt

Scientific researcher, Institute of Computer Science, Czech Academy of Sciences
JH

Jaroslav Hlinka

Senior researcher, Institute of Computer Science of the Czech Academy of Sciences
Currently                                I am leading the and also serve as the Head of the Department of Complex Systems and as the Chair of the Council of the of the Czech Academy of Sciences.
Brief bio After obtaining master degrees in Psychology from Charles University (2005) and in Mathematics from Czech Technical University (2006), I went on the quest of applying mathematics in helping to understand the complex activity of human brain through neuroimaging data analysis... Read More →
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P112: Biologically Realistic Models of Synaptic Release at Human Cortical Synapses
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionSynapses are integral to information processing and plasticity in the brain. Their functional properties, such as their strength and plasticity profiles, are determined by their underlying synaptic structure and organization. A recent study by Rollenhagen and colleagues (unpublished data) reconstructed the structure and vesicle organization of cortical layers 1-6...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P113: Model of Mossy Fiber Bouton (MFB) in hippocampus- the detonator synapse with vesicle release in realistic EM morphology
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThe mossy Fiber Bouton (MFB) in hippocampus acts as a detonator synapse with sophisticated morphology, large number of vesicles and multiple active zones (AZs), which provide the physical basis for the detonator properties [1]. However, how presynaptic MFB terminals decode the frequency and number of action potentials to transmit information remains poorly understood.  Due to its...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P114: The effect of weak electric deep brain stimulation fields on the synchronization of multi-compartment neuron models
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionDeep brain stimulation (DBS) is widely used to treat motor symptoms of Parkinson’s disease, but the mechanism by which it alters neural dynamics is still not fully understood. DBS typically consists of short, high-frequency electrical pulses delivered through an implanted electrode, and its effects are attributed to strong electric fields near the electrode. However, studies of...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P115: Digital Twins Enable Early Alzheimer’s Disease Diagnosis
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionEarly detection and prognostic prediction of Alzheimer’s disease (AD) is essential for timely intervention and improved patient outcomes. However, current diagnostic methods, including cerebrospinal fluid (CSF) analysis and neuroimaging techniques, are often invasive, costly, and unsuitable for early screenings. Non-invasive neural recordings like electro- or magnetoencephalography...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P116: Vasoactive intestinal polypeptide-expressing neurons (VIPs) as a mechanism for flexible cognitive control
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionWorking memory and decision making are mediated by common cortical areas [1], but they make conflicting demands of circuit dynamics. Competition between neural populations is essential for decision making, but exacerbates working memory storage limitations. This discrepancy implies a mechanism for mediating between dynamic regimes. VIPs are strong candidates for this role, as they...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P117: Neurite heterogeneity controls signal propagation in a model of the ctenophore syncytial nerve net
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionRecent work [1] on the ctenophore M. leidyi has shown that the standard architecture of excitable neurons connected by neurites terminated by synapses is not universal. The ctenophore subepithelial nerve net (SNN) is a continuous cytoplasmic network lacking chemical or electrical synapses. Electron micrographs revealed a nerve net with a beaded or “pearls-on-a-string”...
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Speakers
JS

Jan Steinkuehler

Assistant Professor, Kiel University
avatar for Wilhelm Braun

Wilhelm Braun

Junior Research Group Leader, Kiel University (CAU Kiel), Faculty of Engineering, Department of Electrical and Information Engineering
Early nervous systems, functional neuronal networks, stochastic neural dynamics, animal behavior, reinforcement learning, network reconstruction
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P118: Development and Validation of a Multi-scale Model of Cerebellar Transcranial Magnetic Stimulation
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionTranscranial magnetic stimulation (TMS) is a promising technique to alleviate symptoms related to cerebellar pathologies. However, the outcomes of TMS are variable and it is not understood how exactly neuronal activity is affected by it. Many models, at different scales, have been developed to try to address the open questions on the functioning of TMS. The state of the art are...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P119: Low-Effort Attention as Free-Energy Optimization via Cingulo–Autonomic Control
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionActive inference models of attention and self-control typically emphasize effortful precision weighting implemented through executive control. However, empirical findings indicate that attentional stability and self-regulation can improve under minimal cognitive effort. This poses a challenge for effort-centric interpretations of control cost in predictive systems [1]. We address this...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P120: Adaptive Multisensory Support for Low-Effort Attention in Embodied Agents
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionAttention regulation depends on how neural systems balance internal control with sensory input. When this balance becomes rigid, regulation requires greater effort and becomes unstable. Empirical work shows that a brief low-effort training paradigm, the integrative body–mind training (IBMT) improves attention by inducing a low-effort regulatory state [1], yet individuals vary in...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P121: Optogenetic WiChR based seizure control in a potassium driven epilepsy model
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionOptogenetic modulation of pyramidal cells using potassium selective opsins has been shown to inhibit neuronal activity, making it a promising strategy for suppressing seizures [1]. A prior study in a point‑neuron hippocampal model showed seizure termination after brief opsin activation, but different seizure generation mechanisms may alter intervention efficacy [2]. In this study, we...
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Speakers
avatar for Thomas Tarnaud

Thomas Tarnaud

Associate professor, INTEC WAVES, University of Ghent - IMEC
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P122: Computational modeling of ultrasonic neuromodulation in realistic cortical cells
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionTranscranial ultrasound stimulation (TUS) is an emerging neuromodulation technique offering millimeter‑scale precision and non‑invasive stimulation. While experimental studies show that ultrasound can modulate neural activity across multiple brain regions, the underlying biophysical mechanisms remain incompletely understood, limiting optimal protocol design. Among the proposed...
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Speakers
avatar for Thomas Tarnaud

Thomas Tarnaud

Associate professor, INTEC WAVES, University of Ghent - IMEC
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P123: Population-based Functional Source Separation enables identification of cortical sources in new individuals
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionFunctional Source Separation (FSS) extends Blind Source Separation (BSS) by incorporating prior knowledge about the functional characteristics of neural responses during source extraction. FSS has previously been used to estimate primary motor (FS_M1) and somatosensory (FS_S1) cortical representations from stimulus-evoked EEG responses [1], and to identify FS_M1 in passive subjects...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P124: Power Spectrum Harmonics Provide a Signature of Balanced Excitation-Inhibition Across Cortical Scales
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionTranscranial alternating current stimulation (tACS) is widely used to modulate brain activity, yet its mechanisms remain incompletely understood and its effects vary across individuals and studies [1]. When nonlinear neural circuits are driven by sinusoidal input, responses often contain harmonic frequencies in addition to the stimulation frequency [2]. Although commonly observed in...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P125: Learning Barrel Cortex Representations from Whisker Dynamics and Multimodal Convergence
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionRodents can discriminate object shape, size, and texture through active whisker contacts. Accordingly, rodent primary somatosensory cortex (S1) contains topographic representations of the whiskers, and neurons in S1 represent multiple stimulus features associated with whisker based touch. Although these representations have been characterized experimentally, the computational...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P126: Remapping Convolutional Layers to Fit Cortical Connectivity
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionConvolutional networks are commonly used in brain models [e.g. 3, 5]. Convolutions assume a uniform connection structure from source to target. However, a recent analysis of mesoscale connectivity in the mouse cortex [4] showed that many connections over and under-represent parts of the source and/or target area, and may project distant parts of a source into nearby parts of a target....
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P127: Distinguishing between fetal alcohol spectrum disorders and attention-deficit/hyperactivity disorder using diffusion modelling and spiking neurons
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionDrift Diffusion (DD) models and spiking neural networks have been effective in predicting and simulating disordered behaviour. They offer deep insight into behavioural processes and spiking neuronal models understand the relationship between such processes and the underlying biological system. A joint approach is valuable as DD models reflect the entirety of performance data and...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P128: Ion Channels Tune Population-Level Intrinsic Biophysical Heterogeneity
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionHuman neurons show remarkable variation, even among the same type. Contrary to the belief that it is noise, within-cell-type heterogeneity enhances information coding and, as our recent work has shown, endows dynamical resilience to insults [1]. Furthermore, our work has shown that heterogeneity is malleable and is reduced in seizures and [1] under correlated inputs [2,3].We focus on...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P129: Sequential variability of Steady State Visually Evoked Potentials and its relation with BCI performance
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionRecent work highlights the importance of identifying and assessing sequential neural activity. Here we introduce a novel approach to characterize sequential patterns in EEG data, focusing on steady-state visually evoked potentials (SSVEPs) that appear as oscillations in the occipital lobe when attending to a flickering light. This phenomenon is widely used in brain-computer interfaces...
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Speakers
TR

Tania Romero-Segura

PhD student, Universidad Autonóma de Madrid
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P130: Burst-to-burst information resetting in Central Pattern Generators
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionBursting neural activity is widely expressed in many neural systems and has been proposed to underlie reliable information multiplexing, propagation, and execution. This type of neural activity typically involves interactions at slow and fast timescales. In the context of central pattern generators (CPGs), bursting is part of the sequential motor control mechanisms responsible for...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P131: Decreased alpha/theta temporal ExSEnt of left prefrontal cortex in dementia: a robust biomarker
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionDementia involves progressive cognitive decline, with Alzheimer’s disease (AD) and frontotemporal dementia (FTD) as major subtypes. Electroencephalography (EEG) provides a noninvasive and accessible measure of brain dynamics and able to capture pathological slowing, often reflected by increased theta-to-alpha power ratio (TAR) [1]. Reduced signal complexity has also been reported in...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P132: A Knowledge Integration Workflow to Define Functional Interactomes in Neural Systems
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThis study addresses the need for standard workflows and best practices in developing evidence-based computational tools and models in neuroscience [1]. Linking multiscale molecular and cellular interactions (e.g., between neurons and glia) are yet to be mainstream in Systems Neuroscience. As a step in...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P133: A Learning-Rule-Independent Method for Evaluating Memory Capacity in Biophysical Neuron Models
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionThe spatial distribution of parallel fiber (PF) synaptic inputs to a Purkinje cell (PC) induces complex intracellular dynamics along the dendrites, enabling nonlinear pattern discrimination [1]. However, the relationship between PC morphology and memory capacity remains unclear. Although simulations of biophysical neuron models incorporating morphology are effective for such...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P134: Coupling TMS induced electric fields to neural state variables
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionTranscranial magnetic stimulation (TMS) of the human primary motor cortex (M1) is well studied, aided by abundant possible experimental readouts, such as EEG and motor evoked potentials (MEP). One key readout are DI-waves, reflecting the TMS-evoked output of M1 and characteristically depend on TMS parameters (e.g., coil orientation and pulse strength). Previous modeling studies...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P135: A Dendritic Brunel Network for Studying NMDA-Driven Working Memory
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionMaintaining a working memory of sensory inputs is a fundamental neural computation, widely thought to rely on synaptic plasticity or dedicated attractor dynamics [1,2]. A complementary substrate is provided by dendritic subunits equipped with NMDA receptors, whose slowly decaying, voltage-gated conductances allow information to persist within individual neurons beyond the membrane...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P136: Implementation of Dendritic Hierarchial Scheduling for the Neulite kernel
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionNeulite is a lightweight simulator designed for biophysically detailed neuron and network models. It consists of a frontend module, Bionetlite, and a numerical kernel. While the original kernel was optimized for Japan's flagship Supercomputer Fugaku, a CPU-based system, most contemporary supercomputers use CPU/GPU hybrid architectures. To adapt to these environments, we have developed...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P137: A Spiking Neural Network Model of Hierarchical Reinforcement Learning in a Maze Navigation Task
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionReinforcement learning (RL) is a learning mechanism that allows animals to acquire behaviors through trial and error, and it is thought to be implemented in the brain's neural circuits. Hierarchical reinforcement learning (HRL), in which multiple RL systems are organized hierarchically, has been hypothesized to improve learning efficiency by decomposing long action sequences into...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P138: The Functional Contribution of Synaptic Plasticity in the Deep Cerebellar Nuclei to Real-Time Adaptive Robot Control
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionAlthough considerable progress has been made, robotic motor control still lacks the adaptability of biological motor systems in dynamic environments [1]. Replicating the flexibility of biological systems remains a challenge in neurorobotics. The cerebellum is crucial for motor control [2], suggesting it can inform the design of adaptive robotic controllers. Since Marr’s seminal...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P139: Spatial neuroaesthetics in perception of topological and visual characteristics of natural landscapes and in route decision-making
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionA comprehensive behavioural decision can be made based on a preliminary aesthetic assessment that harmonizes a variety of factors. Subjective prediction can cover at least 20-30% of brain regions, from sensory and motor areas to the cerebral cortex [1]. To study such processes, neuroaesthetic tools are being developed that combine computational rating models with neurophysiological...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P140: Unsupervised Machine Learning Analysis of Extracellular Waveforms
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionAdvances in transcriptomic, morphological, and electrophysiological techniques have led to more comprehensive characterization of cortical cell types. However, in the absence of “ground truth” labels, it is difficult to classify single units into neuron types based on extracellular action potentials (EAPs) recorded from high-density electrode arrays. Previously published...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P141: Different training paradigms yield distinct learned structures in recurrent neural network models
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionRNNs trained with backpropagation through time (BPTT) solve tasks through reliance on global error signals [1], while evolutionary algorithms and activity-dependent plasticity rules are gradient-free alternatives to solve the same tasks. How the choice of training paradigm biases the solutions that models arrive at remains unclear. Here we compare four paradigms—BPTT, evolution...
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Speakers
YZ

Yuqing Zhu

Assistant Professor of Neuroscience, Pomona College
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

5:00pm ADT

P142: Building neural manifolds from membrane biophysics and circuit topology
Tuesday July 14, 2026 5:00pm - 7:00pm ADT
IntroductionNeural population activity is often described as evolving on low-dimensional manifolds that structure neural computation and behaviour. These manifolds are typically identified empirically using dimensionality reduction techniques applied to large-scale neural recordings (Gallego et al., 2017). While such approaches successfully reveal structured population dynamics, they are largely...
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Tuesday July 14, 2026 5:00pm - 7:00pm ADT
Ballroom B2

9:30pm ADT

Party
Tuesday July 14, 2026 9:30pm - 11:59pm ADT

Tuesday July 14, 2026 9:30pm - 11:59pm ADT
TBA
 
Wednesday, July 15
 

8:15am ADT

Registration
Wednesday July 15, 2026 8:15am - 5:00pm ADT

Wednesday July 15, 2026 8:15am - 5:00pm ADT
TBA

9:00am ADT

Computational modeling of neuromodulation technologies
Wednesday July 15, 2026 9:00am - 12:30pm ADT
Various neuromodulation modalities have been developed to gain understanding of brain function and to treat a wide range of neurological disorders. Examples of brain stimulation technologies that use electric or magnetic fields are deep brain stimulation, vagus nerve stimulation, transcranial direct or alternating current stimulation, transcranial magnetic stimulation and temporal interference...
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Speakers
avatar for Thomas Tarnaud

Thomas Tarnaud

Associate professor, INTEC WAVES, University of Ghent - IMEC
Wednesday July 15, 2026 9:00am - 12:30pm ADT
Room 502

9:00am ADT

Detailed models of brain microcircuit activity and signals in clinical applications
Wednesday July 15, 2026 9:00am - 12:30pm ADT
Brain function is mediated by neuronal microcircuits with specific connectivity between neuron types, and it is increasingly evident that altered microcircuitry underlies deficits in brain disorders such as depression and schizophrenia, and in aging and Alzheimer’s. However, our ability to monitor the microcircuitry in living humans is limited, meriting the use of detailed computational...
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Speakers
avatar for Kant (Heng Kang) Yao

Kant (Heng Kang) Yao

Postdoctoral Fellow, Centre for Addiction and Mental Health
avatar for Etay Hay

Etay Hay

Scientist, Centre for Addiction and Mental Health
avatar for Alexandre Guet-McCreight

Alexandre Guet-McCreight

Postdoctoral Research Fellow, Centre for Addiction and Mental Health
I earned my PhD in Computational Neuroscience from the University of Toronto, under the supervision of Dr. Frances Skinner, with a focus on biophysical modeling of inhibitory hippocampal cells. After a postdoctoral period at the Krembil Brain Institute, I joined Dr. Etay Hay’s lab... Read More →
Wednesday July 15, 2026 9:00am - 12:30pm ADT
Room 501

9:00am ADT

Evolution, Computation and the Origins of Nervous Systems: from Animal Models to Neuromorphic Engineering
Wednesday July 15, 2026 9:00am - 12:30pm ADT

Speakers
JS

Jan Steinkuehler

Assistant Professor, Kiel University
avatar for Wilhelm Braun

Wilhelm Braun

Junior Research Group Leader, Kiel University (CAU Kiel), Faculty of Engineering, Department of Electrical and Information Engineering
Early nervous systems, functional neuronal networks, stochastic neural dynamics, animal behavior, reinforcement learning, network reconstruction
Wednesday July 15, 2026 9:00am - 12:30pm ADT
Room 505

9:00am ADT

Workshop on Methods of Information Theory in Computational Neuroscience
Wednesday July 15, 2026 9:00am - 5:30pm ADT

Speakers
avatar for Joseph T. Lizier

Joseph T. Lizier

Associate Professor, Centre for Complex Systems, The University of Sydney
My research focusses on studying the dynamics of information processing in biological and bio-inspired complex systems and networks, using tools from information theory such as transfer entropy to reveal when and where in a complex system information is being stored, transferred and... Read More →
avatar for Marilyn Gatica

Marilyn Gatica

Postdoctoral Research Assistant, Northeastern University London
Wednesday July 15, 2026 9:00am - 5:30pm ADT
Room 506/7

9:00am ADT

The 4D Connectome: Development, Structure, Function and Dynamics
Wednesday July 15, 2026 9:00am - 6:00pm ADT
Please consult the Workshop Website for the detailed program.https://sites.google.com/view/cns2026workshop/homeMorning Session: 9 AM -- 1230 PM0900 -- Jeremie Lefebvre0945 -- Lida KanariCoffee Break1100 -- Tatyana Sharpee1145 -- Hermann CuntzAfternoon Session: 2 PM -- 6 PM1400 -- Sven Dorkenvald1445 -- Alex Bird1530 -- Paolo Bonifazi1615 -- Gabriel Benigno1645 -- Katharina Duecker1715 -- Alberto...
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Speakers
AB

Alex Bird

ICAR3R, University of Giessen
avatar for Maurizio De Pitta

Maurizio De Pitta

Krembil Research Institute
avatar for Jeremie Lefebvre

Jeremie Lefebvre

Associate Professor, University of Ottawa
GB

Gabriel Benigno

Postdoctoral Researcher, UChicago/BocconiU
Wednesday July 15, 2026 9:00am - 6:00pm ADT
Room 503

10:30am ADT

Coffee Break
Wednesday July 15, 2026 10:30am - 11:00am ADT

Wednesday July 15, 2026 10:30am - 11:00am ADT
Ballroom Salon

3:30pm ADT

Coffee break
Wednesday July 15, 2026 3:30pm - 4:00pm ADT

Wednesday July 15, 2026 3:30pm - 4:00pm ADT
Ballroom Salon
 
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