Lecture

Simplified Neuron Models: Analytical Approachability

Description

This lecture discusses simplified neuron models and their analytical approachability, focusing on the random walk model and its implications on spiking activity. The instructor explains how random walks behave, the impact of trajectories on reaching the threshold, and the correction for decay in membrane potential. The lecture delves into the importance of understanding neural modeling, the assumptions made in Gaussian distribution approaches, and the evolution of models to explain motor neurons. Additionally, the discussion covers the concept of time average versus population average, the challenges in modeling individual neurons within a network, and the limitations of the integrated and fire neuron model in reproducing certain neural behaviors.

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.

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.