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Output details

11 - Computer Science and Informatics

University of Bristol

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Article title

A metric space approach to the information channel capacity of spike trains

Type

D - Journal article

DOI

10.1007/s10827-010-0286-8

Title of journal

Journal of Computational Neuroscience

Article number

Volume number

Issue number

First page of article

201

ISSN of journal

09295313

Year of publication

2011

URL

http://www.springerlink.com/content/f33u477304771583/

Number of additional authors

Additional information

<22> Applying Shannon's information theory to data carrying signals in the brain is notoriously difficult. This paper aims to address this problem by providing a novel model of noise in neuron signals. In particular, it calculates quantities including the information channel capacity. Experimental validation of the model is in progress.

Interdisciplinary

Yes

Cross-referral requested

Research group

B - Intelligent Systems Laboratory

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract