YoVDO

Theoretical Study of the Emergence of Periodic Solutions for the Inhibitory NNLIF Neuron Model with Synaptic Delay

Offered By: Institut Henri Poincaré via YouTube

Tags

Computational Neuroscience Courses Neural Networks Courses Differential Equations Courses Nonlinear Dynamics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 24-minute lecture on the theoretical study of periodic solutions emerging in the inhibitory NNLIF neuron model with synaptic delay. Presented by Kota Ikeda from Meiji University at the Institut Henri Poincaré in Paris, delve into the complex mathematical analysis of neuronal behavior. Gain insights into the intricate dynamics of inhibitory neural networks and the role of synaptic delays in shaping periodic solutions. Enhance your understanding of computational neuroscience and mathematical modeling of neural systems through this advanced presentation.

Syllabus

Theoretical study of the emergence of periodic solutions for the inhibitory NNLIF neuronmodel...


Taught by

Institut Henri Poincaré

Related Courses

Computational Neuroscience
University of Washington via Coursera
Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX
Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX
Computational Neuroscience: Neuronal Dynamics of Cognition
École Polytechnique Fédérale de Lausanne via edX
The Multi-scale brain
École Polytechnique Fédérale de Lausanne via edX