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.
Theoretical Study of the Emergence of Periodic Solutions for the Inhibitory NNLIF Neuron Model with Synaptic Delay
Institut Henri Poincaré via YouTube
Overview
Syllabus
Theoretical study of the emergence of periodic solutions for the inhibitory NNLIF neuronmodel...
Taught by
Institut Henri Poincaré
Related Courses
-
Neuronal Dynamics
-
System of Interacting Neurons with Short-Term Synaptic Facilitation
-
Fokker-Planck Equations of Neuron Networks: Understanding Time Periodic Solutions
-
A New Synaptic Rule to Unify Experimental Heterogeneity
-
Inferring Monosynaptic Connections from Cross-Correlograms of Neuronal Spike Trains
-
An Understanding of Physical Solutions and Blow-Up Phenomenon in Nonlinear Noisy Leaky Integrate and Fire Neuronal Models
