1999年10月
Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons
NEURAL NETWORKS
- ,
- ,
- 巻
- 12
- 号
- 7-8
- 開始ページ
- 1181
- 終了ページ
- 1190
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/S0893-6080(99)00053-2
- 出版者・発行元
- PERGAMON-ELSEVIER SCIENCE LTD
There has been controversy over whether the standard neuro-spiking models are consistent with the irregular spiking of cortical neurons. In a previous study, we proposed examining this consistency on the basis of the high-order statistics of the inter-spike intervals (ISIs), as represented by the coefficient of variation and the skewness coefficient. In that study we found that a leaky integrate-and-fire model incorporating the assumption of temporally uncorrelated inputs is not able to account for the spiking data recorded from a monkey prefrontal cortex. In the present paper, we attempt to revise the neuro-spiking model so as to make it consistent with the biological data. Here we consider the correlation coefficient of consecutive ISIs, which was ignored in previous studies. Considering three statistical coefficients, we conclude that the leaky integrate-and-fire model with temporally correlated inputs does account for the biological data. The correlation time scale of the inputs needed to explain the biological statistics is found to be on the order of 100 ms. We discuss possible origins of this input correlation. (C) 1999 Elsevier Science Ltd. All rights reserved.
- リンク情報
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- DOI
- https://doi.org/10.1016/S0893-6080(99)00053-2
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902183875189866
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/12662653
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000082693100017&DestApp=WOS_CPL
- ID情報
-
- DOI : 10.1016/S0893-6080(99)00053-2
- ISSN : 0893-6080
- J-Global ID : 200902183875189866
- PubMed ID : 12662653
- Web of Science ID : WOS:000082693100017