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 for universal functionality, Neulite maintains an exceptionally concise kernel of approximately 2,000 lines of C code. This minimalist design allows for extreme performance optimization on specific hardware architectures and provides researchers with direct, transparent access to the underlying computational logic. By eliminating the complexity of larger engines, Neulite empowers users to easily modify simulation routines and implement custom features, ensuring full control over their specific modeling workflows.
This half-day tutorial is divided into two parts. In the first part, we will provide a general introduction to Neulite, set up the environment for BMTK and NEURON, and replicate BMTK Tutorials 1 and 4 using Neulite. The second part features a walk-through of the simulation kernel; we will examine the source code, progressing from a passive single-neuron model to a population-scale model.
Attendees are expected to bring a computer equipped with Python, a C compiler, and git.
Website:
https://numericalbrain.org/en/neulite/ Reference:
[1] Rin Kuriyama*, Kaaya Akira*, Laura Green, Beatriz Herrera, Kael Dai, Mari Iura, Gilles Gouaillardet, Asako Terasawa, Taira Kobayashi, Jun Igarashi, Anton Arkhipov, Tadashi Yamazaki (*: equally contributed). Microscopic-Level Mouse Whole Cortex Simulation Composed of 9 Million Biophysical Neurons and 26 Billion Synapses on the Supercomputer Fugaku. in The International Conference for High Performance Computing, Networking, Storage and Analysis (SC ʼ25), November 16‒21, 2025, St Louis, MO, USA. ACM, New York, NY, USA, 11 pages. doi:
10.1145/3712285.3759819
