RECURRENCE PLOTS OF NEURONAL SPIKE TRAINS

被引：40

作者：

KALUZNY, P

TARNECKI, R

机构：

[1] Department of Neurophysiology, Nencki Institute of Experimental Biology, Warsaw, 02-093

来源：

BIOLOGICAL CYBERNETICS | 1993年 / 68卷 / 06期

关键词：

D O I：

10.1007/BF00200812

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The recently developed qualitative method of diagnosis of dynamical systems - recurrence plots -has been applied to the analysis of dynamics of neuronal spike trains recorded from cerebellum and red nucleus of anesthetized cats. Recurrence plots revealed robust and common changes in the similarity structure of interspike interval sequences as well as significant deviations from randomness in serial ordering of intervals. Recurring episodes of alike, quasi-deterministic firing patterns suggest the spontaneous modulation of the dynamical complexity of the trajectories of observed neurons. These modulations are associated with changing dynamical properties of a neuronal spike-train-generating system. Their existence is compatible with the information processing paradigm of attractor neural networks.

引用

页码：527 / 534

页数：8

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