Volume 12 Supplement 1

Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access

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

BMC Neuroscience201112(Suppl 1):P152

DOI: 10.1186/1471-2202-12-S1-P152

Published: 18 July 2011

A novel method is presented for calculating the information channel capacity of spike trains. This method works by fitting a χ-distribution to the distribution of distances between responses to the same stimulus: the χ-distribution is the length distribution for a vector of Gaussian variables. The dimension of this vector defines an effective dimension for the noise and by rephrasing the problem in terms of distance based quantities, this allows the channel capacity to be calculated. As an example, the capacity is calculated for a data set recorded from auditory neurons in zebra finch.

Declarations

Acknowledgements

JBG wishes to thank the Irish Research Council of Science, Engineering and Technology for an Embark Postgraduate Research Scholarship. CJH wishes to thank Science Foundation Ireland for Research Frontiers Programme grant 08/RFP/MTH1280.

Authors’ Affiliations

(1)
School of Mathematics, Trinity College Dublin

Copyright

© Gillespie and Houghton; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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