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A Novel Spike Distance

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http://dx.doi.org/10.1162/089976601300014321
Original languageEnglish
Pages (from-to)751-763
Number of pages13
JournalNeural Computation
Volume13
Issue number4
DOIs
Publication statusPublished - 1 Apr 2001

Abstract

The discrimination between two spike trains is a fundamental problem for both experimentalists and the nervous system itself. We introduce a measure for the distance between two spike trains. The distance has a time constant as a parameter. Depending on this parameter, the distance interpolates between a coincidence detector and a rate difference counter. The dependence of the distance on noise is studied with an integrate-and-fire model. For an intermediate range of the time constants, the distance depends linearly on the noise. This property can be used to determine the intrinsic noise of a neuron.

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