RECURRING DISCHARGE PATTERNS IN MULTIPLE SPIKE TRAINS .1. DETECTION

被引：19

作者：

FROSTIG, RD

FROSTIG, Z

HARPER, RM

机构：

[1] UNIV CALIF LOS ANGELES, BRAIN RES INST, NEUROSCI PROGRAM, LOS ANGELES, CA 90024 USA

[2] UNIV CALIF LOS ANGELES, DEPT ANAT, LOS ANGELES, CA 90024 USA

来源：

BIOLOGICAL CYBERNETICS | 1990年 / 62卷 / 06期

关键词：

D O I：

10.1007/BF00205110

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a procedure to detect recurring discharge patterns in multiple spike trains. Such recurring patterns can include many spikes and involve from three to many spike trains. The pattern detection procedure is based on calculating the exact probability of randomly obtaining each individually recurring pattern. The statistical evaluation is based on the use of 2 × 2 contingency tables and the application of Fisher's exact test. Several simulations are applied to evaluate the method. Findings based on applying the procedure to simultaneously recorded spike and event trains are described in a companion paper (Frostig et al. 1990). © 1990 Springer-Verlag.

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收藏

页码：487 / 493

页数：7

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