From Connectome to Dynamic Representations

From Connectome to Dynamic Representations

Explore a 51-minute lecture on connectome analysis and dynamic representations presented by Eli Shlizerman from the University of Washington. Recorded on February 16, 2024, at the Institute for Pure & Applied Mathematics (IPAM) at UCLA, this talk is part of the Mathematical Approaches for Connectome Analysis Workshop. Delve into the intricate relationship between connectomes and dynamic representations in neuroscience, gaining insights into cutting-edge research in this field. Discover how mathematical approaches are being applied to analyze and understand complex neural networks and their functional dynamics.