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

Hdl Handle:
http://hdl.handle.net/10147/136799
Title:
A metric space approach to the information channel capacity of spike trains
Authors:
Houghton, Conor; Gillespie, James B.
Citation:
BMC Neuroscience. 2011 Jul 18;12(Suppl 1):P152
Issue Date:
18-Jul-2011
URI:
http://hdl.handle.net/10147/136799
Abstract:
null; A novel method is presented for calculating the information channel capacity of spike trains. This method works by fitting a c-distribution to the distribution of distances between responses to the same stimulus: the c-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.
Item Type:
Journal Article
Sponsors:
Science Foundation Ireland

Full metadata record

DC FieldValue Language
dc.contributor.authorHoughton, Conor-
dc.contributor.authorGillespie, James B.-
dc.date.accessioned2011-07-25T08:39:13Z-
dc.date.available2011-07-25T08:39:13Z-
dc.date.issued2011-07-18-
dc.identifierhttp://dx.doi.org/10.1186/1471-2202-12-S1-P152-
dc.identifier.citationBMC Neuroscience. 2011 Jul 18;12(Suppl 1):P152-
dc.identifier.urihttp://hdl.handle.net/10147/136799-
dc.description.abstractnull-
dc.description.abstractA novel method is presented for calculating the information channel capacity of spike trains. This method works by fitting a c-distribution to the distribution of distances between responses to the same stimulus: the c-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.-
dc.description.sponsorshipScience Foundation Ireland-
dc.titleA metric space approach to the information channel capacity of spike trains-
dc.typeJournal Article-
dc.language.rfc3066en-
dc.rights.holderet al.; licensee BioMed Central Ltd.-
dc.description.statusPeer Reviewed-
dc.date.updated2011-07-22T20:31:11Z-
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