Fast algorithm for the metric-space analysis of simultaneous responses of multiple single neurons

被引:26
作者
Aronov, D [1 ]
机构
[1] Columbia Univ, Dept Sci Biol, New York, NY 10027 USA
关键词
spike trains; multineuronal analysis; metric spaces; dynamic programming algorithms;
D O I
10.1016/S0165-0270(03)00006-2
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Spike train metrics quantify the notion of dissimilarity, or distance, between spike trains and between multineuronal responses (J. Neurophysiol. 76 (1996) 13 10, Network 8 (1997) 127). We present a new algorithm for the implementation of a metric based on the timing of individual spikes and on their neurons of origin. This algorithm surpasses the earlier approach in speed by a factor that grows exponentially with the number of neurons, substantially extending the applicability of metric space methods to the study of coding in larger neuronal populations. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:175 / 179
页数:5
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