Jump to ContentJump to Main Navigation
Bayesian BrainProbabilistic Approaches to Neural Coding$
Users without a subscription are not able to see the full content.
Bayesian Brain: Probabilistic Approaches to Neural Coding

Kenji Doya, Shin Ishii, Alexandre Pouget, and Rajesh P.N. Rao

Print publication date: 2006

Print ISBN-13: 9780262042383

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262042383.001.0001

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 27 May 2022

Likelihood-Based Approaches to Modeling the Neural Code

Likelihood-Based Approaches to Modeling the Neural Code

Chapter:
(p.53) 3 Likelihood-Based Approaches to Modeling the Neural Code
Source:
Bayesian Brain
Author(s):

Jonathan Pillow

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262042383.003.0003

This chapter discusses likelihood-based approaches to building mathematical models of the neural code. It introduces probabilistic neural models such as the linear-non-linear-Poisson (LNP) model (models of neural response), the generalized linear model (GLM), and the generalized integrate-and-fire (GIF) model. The chapter also examines the methods of evaluating the validity of probabilistic models, which includes cross-validation, time rescaling, and model-based decoding.

Keywords:   likelihood-based approaches, neural code, Poisson model, LNP, generalized linear model, GLM, integrate and fire, GIF, cross-validation, time rescaling

MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.