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Spontaneous Oscillations in Pure Excitatory Mean Field Networks of Neurons

Offered By: Institut Henri Poincaré via YouTube

Tags

Computational Neuroscience Courses Neural Networks Courses Neuroscience Courses Mathematical Modeling Courses Dynamical Systems Courses Neurophysiology Courses Stochastic Processes Courses Oscillations Courses Mean-Field Theory Courses

Course Description

Overview

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Explore the intricacies of spontaneous oscillations in pure excitatory mean field networks of neurons in this 39-minute lecture by Etienne Tanré from Inria Sophia-Antipolis. Delve into the complex dynamics of neuronal networks and gain insights into the emergence of oscillatory behavior in purely excitatory systems. Presented at the prestigious Institut Henri Poincaré in Paris, this talk offers a deep dive into the mathematical and computational aspects of neuronal network modeling, providing valuable knowledge for researchers and students in neuroscience, physics, and applied mathematics.

Syllabus

Spontaneous oscillations in a pure excitatory mean field networks of neurons


Taught by

Institut Henri Poincaré

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