PDEs for Neural Assemblies - Analysis, Simulations, and Behavior

Explore the mathematical foundations of neural assemblies through partial differential equations (PDEs) in this 55-minute lecture by Professor Benoît Perthame from Sorbonne University, France. Delve into the analysis, simulations, and behavioral aspects of neural networks as modeled by PDEs. Gain insights into the complex dynamics of large-scale neural systems and their mathematical representations. Examine the theoretical frameworks and computational approaches used to study the collective behavior of neurons. Discover how PDEs can be applied to understand and predict neural activity patterns and their implications for brain function.