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