Lecture

Modeling Neurobiological Signals: Markov Chains

Description

This lecture covers the modeling of neurobiological signals using Markov Chains, focusing on multiple state neurons and parameter estimation. It explains how the firing rate's time-dependent behavior can be modeled as a Markov Chain, considering initial and transition probabilities. The lecture also delves into the estimation of parameters using likelihood functions and Lagrange constrained maximization. Real data parameter estimation challenges are discussed, along with exercises on modeling samples generated by different classes.

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.