文献类型：期刊文献

英文题名：Using interspike intervals to quantify noise effects on spike trains in temperature encoding neurons

作者：Du, Ying[1,3];Lu, Qishao[2];Wang, Rubin[1,3]

机构：[1]E China Univ Sci & Technol, Inst Cognit Neurodynam, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Beihang Univ, Dept Dynam & Control, Beijing 100191, Peoples R China;[3]E China Univ Sci & Technol, Dept Math, Sch Sci, Shanghai 200237, Peoples R China

年份：2010

卷号：4

期号：3

起止页码：199

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000280782500004)】；

基金：This work was supported by the National Natural Science Foundation of China (No. 10872014,10872068,10672057) and the Special Foundation of ECUST for Young Teacher. We wish to thank Kreuz et al. for sharing their method and code in the internet.

语种：英文

外文关键词：Neural spike train; ISI-distance; Noise; Cold receptor model

摘要：This paper examines how noise interacts with the non-linear dynamical mechanisms of neuronal stimulus. We study the spike trains generated by a minimal Hodgkin-Huxley type model of a cold receptor neuron. The distributions of interspike intervals(ISIs) of purely deterministic simulations exhibit considerable differences compared to the noisy ones. We quantify the effect of noise using ISI return plots and the ISI-distance recently proposed by Kreuz et al. (J Neurosci Meth, 165:151-161, 2007). It is shown that the spike trains of a cold receptor neuron are more strongly affected by noise for low temperatures than for high temperatures. This trend is also observed in both regimes of cold receptors: tonic firing(which occurs for low and high temperatures) and bursting (which occurs for intermediate temperatures).