Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains

机译：估计单尖峰列车神经元放电的传入和传出时间间隔熵

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摘要

We define a biological communication system at the level of a single neuron and quantify the temporal variability of afferent and efferent impulse patterns by means of an interval entropy measure. Two signal transmission conditions which bound a physiologically plausible range of transmission possibilities are explored. The number of efferent synapses is predicted by matching estimates of the mean efferent entropy to the total afferent entropy.

机译：我们在单个神经元的水平上定义一个生物通讯系统，并通过间隔熵测度来量化传入和传出冲动模式的时间变异性。探索了两种信号传输条件，它们限制了生理上合理的传输可能性范围。通过使平均传出熵的估计值与总传出熵的估计值匹配来预测传出突触的数量。

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来源
《Annual Computational Neuroscience Meeting(CNS'02); 20020721-20020725; Chicago,IL; US》|2002年|P.721-726|共6页
会议地点 Chicago IL(US);Chicago IL(US)
作者
Allan D. Coop; George N. Reeke;
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作者单位

Laboratory of Biological Modelling, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类系统科学;
关键词
cerebellum; purkinje cell; model; timing; entropy;

机译：小脑;浦肯野细胞;模型;时序;熵;

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专利

1. Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains [J] . Allan D. Coop, George N. Reeke Neurocomputing . 2003,第Jun期

机译：估计单尖峰列车神经元放电的传入和传出时间间隔熵
2. Estimating the Temporal Interval Entropy of Neuronal Discharge [J] . George N. Reeke, Allan D. Coop Neural computation . 2004,第5期

机译：估计神经元放电的时间间隔熵
3. Estimating nonstationary input signals from a single neuronal spike train [J] . Hideaki Kim, Shigeru Shinomoto PHYSICAL REVIEW E . 2012,第5期

机译：估计来自单个神经元尖峰序列的非平稳输入信号
4. Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains [C] . Allan D. Coop, George N. Reeke Computational neuroscience meeting . 2003

机译：估算单穗训练的神经元排放的传入和传递时间间隔熵
5. Graph-based methods for inferring neuronal connectivity from spike train ensembles. [D] . El-dawlatly, Seif El-din. 2011

机译：基于图的方法从穗序列集成体推断神经元连接性。
6. Estimating Temporal Causal Interaction between Spike Trains with Permutation and Transfer Entropy [O] . Zhaohui Li, Xiaoli Li -1

机译：用排列和传递熵估计秒杀列车之间的时间因果相互作用
7. Estimating temporal causal interaction between spike trains with permutation and transfer entropy. [O] . Zhaohui Li, Xiaoli Li 2013

机译：用置换和转移熵估计穗列车之间的时间因果相互作用。

Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains

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