A Multiple Time Renewal Equation for Neural Assemblies with Elapsed Time Model

Explore a 25-minute lecture on a multiple time renewal equation for neural assemblies with elapsed time model, presented by Nicolas Torres from Sorbonne Université at the Institut Henri Poincaré in Paris. Delve into the mathematical modeling of neural networks and gain insights into the complex dynamics of neural assemblies. Learn about the application of renewal equations in neuroscience and how they can be extended to incorporate multiple time scales. Discover the implications of this research for understanding brain function and advancing computational neuroscience.

A multiple time renewal equation for neural assemblies with elapsed time model