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

D. Aronov

Journal of Neuroscience Methods 124, 175-179 (2003)

Abstract

Spike train metrics quantify the notion of dissimilarity, or distance, between spike trains and between multineuronal responses (Victor and Purpura 1996, 1997). 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.