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Bayesian BrainProbabilistic Approaches to Neural Coding$
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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

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 02 June 2020

Computing with Population Codes

Computing with Population Codes

Chapter:
(p.130) (p.131) 7 Computing with Population Codes
Source:
Bayesian Brain
Author(s):

Peter Latham

Pouget Alexandre

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262042383.003.0007

This chapter discusses how networks of neurons can implement computations based on population codes. It describes how networks of neurons handle invariances and then shows how to construct networks that can compute smooth functions. The chapter also presents qualitative and quantitative analyses of efficient computing.

Keywords:   neurons, computations, population codes, invariances, efficient computing

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