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 develop technical systems that fully exploit the underlying principles of the unmatched efficiency and resilience of natural systems.
The aim of this one-day workshop is to bring together biologists working on biological model systems with theoreticians developing approaches to understand these systems and engineers working to implement novel, non-conventional neuromorphic computing schemes and applications. Relatively simple - but resilient and efficient - nervous systems might be an excellent inspiration for edge AI, synthetic cells, sensing or miniature robotics. Therefore this workshop aims to distill principles from the evolution of the nervous system to inform theoretical insight and ultimately to design novel neuro-inspired computing hardware.
Here is the link to the workshop homepage.We are very much looking to welcoming you in our workshop.
Best wishes from Kiel
Jan Steinkühler and Wilhelm Braun
