Explore a 21-minute lecture on time averages of metastable systems of spiking neurons, presented by Morgan André from UniCamp and NeuroMat at the Institut Henri Poincaré in Paris. Delve into the complex world of computational neuroscience and gain insights into how time averages are calculated and interpreted in the context of spiking neural networks exhibiting metastable behavior. Learn about the mathematical models and analytical techniques used to study these systems, and understand their implications for our understanding of brain function and information processing in neural circuits.
Overview
Syllabus
Time averages of a metastable system of spiking neurons
Taught by
Institut Henri Poincaré
Related Courses
-
Metastable Spiking Networks in the Replica-Mean-Field Limit
-
Recent Results on Mean Field Analysis of Spiking Neuron Networks
-
Spontaneous Oscillations in Pure Excitatory Mean Field Networks of Neurons
-
System of Interacting Neurons with Short-Term Synaptic Facilitation
-
A Multiple Time Renewal Equation for Neural Assemblies with Elapsed Time Model
-
Integrating Biology and AI: Enhancing Recurrent Networks of Spiking Neurons for Visual Information
