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

James Gillespie, Conor J Houghton

Research output: Contribution to journalArticle (Academic Journal)

4 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)201-209
JournalJournal of Computational Neuroscience
Volume30
DOIs
Publication statusPublished - Feb 2011

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