We invite the computational neuroscience community to join us at our workshop on Neuro-inspired topology and machine learning at CNS 2023,
on July 19th, 2023 in Leipzig, Germany.
Workshop Description: Mathematics, machine learning, and computational neuroscience have long been intertwined. Mathematical tools such as graph theory, information theory and dynamical systems have been used to model neural activity. Similarly, modern
machine learning approaches have been inspired by neuroscience and have been used to better understand brain connectivity and dynamics. These three research facets play off of each other to advance each field individually and concurrently. The goal of this
workshop is to bring computational neuroscientists, mathematicians, and computer scientists together to communicate research around their expertise. Additionally, it will serve as a venue to discuss avenues of future research impacting computational neuroscience
and mathematics while advancing machine learning and artificial intelligence methods.
Speakers include: Max Bazhenov, Vasileios Christopoulos, Claudia Clopath, Salvador Dura-Burnal, Daniela Egas-Santander, Celia Hacker, Erik Hermansen,
Bill Lytton,
Robert McDougal, Aitor Morales-Gregorio, Manish Saggar, Brittany Story, and Nick Tolley
Full details including schedule are available here: https://sites.google.com/view/nitmlcns2023/home
The organizers,
Brittany Story, Vasileios Maroulas, Sam Neymotin
IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized
to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.