Mutual information, Fisher information, and population coding.

Published

Journal Article

In the context of parameter estimation and model selection, it is only quite recently that a direct link between the Fisher information and information-theoretic quantities has been exhibited. We give an interpretation of this link within the standard framework of information theory. We show that in the context of population coding, the mutual information between the activity of a large array of neurons and a stimulus to which the neurons are tuned is naturally related to the Fisher information. In the light of this result, we consider the optimization of the tuning curves parameters in the case of neurons responding to a stimulus represented by an angular variable.

Full Text

Duke Authors

Cited Authors

  • Brunel, N; Nadal, JP

Published Date

  • October 1, 1998

Published In

Volume / Issue

  • 10 / 7

Start / End Page

  • 1731 - 1757

PubMed ID

  • 9744895

Pubmed Central ID

  • 9744895

International Standard Serial Number (ISSN)

  • 0899-7667

Digital Object Identifier (DOI)

  • 10.1162/089976698300017115

Language

  • eng

Conference Location

  • United States