Lecture

MathDetour 1: Separation of time scales

Description

This lecture covers the concept of separation of time scales in computational neuroscience, focusing on reducing detail in two-dimensional neuron models. The instructor explains the transition from Hodgkin-Huxley to 2D models, the role of nullclines, stability of fixed points, and different types of neuron models. The lecture also delves into nonlinear integrate-and-fire models.

In MOOCs (2)

Instructor

elit sit duis

Ullamco in nisi aliquip non deserunt consectetur eiusmod velit enim esse ea. Velit nisi fugiat pariatur nostrud occaecat irure amet ea aliqua excepteur qui ad. In duis voluptate ipsum laborum culpa ullamco esse dolore deserunt id.

Official source

https://mediaspace.epfl.ch/media/0_qkn857wa

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Analysis: Differential anaysis

Related lectures (63)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.