論文

査読有り
2001年10月

Modeling spiking behavior of neurons with time-dependent Poisson processes

PHYSICAL REVIEW E
  • S Shinomoto
  • ,
  • Y Tsubo

64
4
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1103/PhysRevE.64.041910
出版者・発行元
AMERICAN PHYSICAL SOC

Three kinds of interval statistics, as represented by the coefficient of variation, the skewness coefficient, and the correlation coefficient of consecutive intervals, are evaluated for three kinds of time-dependent Poisson processes: pulse regulated, sinusoidally regulated, and doubly stochastic. Among these three processes, the sinusoidally regulated and doubly stochastic Poisson processes, in the case when the spike rate varies slowly compared with the mean interval between spikes, are found to be consistent with the three statistical coefficients exhibited by data recorded from neurons in the prefrontal cortex of monkeys.

リンク情報
DOI
https://doi.org/10.1103/PhysRevE.64.041910
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000171649000057&DestApp=WOS_CPL
ID情報
  • DOI : 10.1103/PhysRevE.64.041910
  • ISSN : 1063-651X
  • Web of Science ID : WOS:000171649000057

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