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  • We employ the statistical concept of information based on the Kullback-Leibler divergence, and assume rate-modulated renewal processes as a model of spike trains. We show that if the firing rate variation is sufficiently small and slow (with respect to the mean interspike interval), the information gain can be expressed by the Fisher information
  • We employ the statistical concept of information based on the Kullback-Leibler divergence, and assume rate-modulated renewal processes as a model of spike trains. We show that if the firing rate variation is sufficiently small and slow (with respect to the mean interspike interval), the information gain can be expressed by the Fisher information (en)
Title
  • The effect of interspike interval statistics on the information gain under the rate coding hypothesis
  • The effect of interspike interval statistics on the information gain under the rate coding hypothesis (en)
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  • The effect of interspike interval statistics on the information gain under the rate coding hypothesis
  • The effect of interspike interval statistics on the information gain under the rate coding hypothesis (en)
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  • RIV/67985823:_____/14:00427639!RIV15-GA0-67985823
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  • I, P(GPP103/12/P558)
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  • 1
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  • 13360
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  • RIV/67985823:_____/14:00427639
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  • Kullback-Leibler divergence; neural spike trains; Fisher information (en)
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  • US - Spojené státy americké
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  • [A62DD5998942]
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  • Mathematical Biosciences and Engineering
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  • 11
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  • Košťál, Lubomír
  • Koyama, S.
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  • 000326979900006
issn
  • 1547-1063
number of pages
http://bibframe.org/vocab/doi
  • 10.3934/mbe.2014.11.63
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