title: Fast algorithm for the metric-space analysis of simultaneous responses of multiple single neurons.
abstract: Spike train metrics quantify the notion of dissimilarity, or distance, between spike trains and between multineuronal responses (J. Neurophysiol. 76 (1996) 1310, 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.
authors.affiliation: Department of Biological Sciences, Columbia University, 1002 Fairchild, Mail Code 2436, 1212 Amsterdam Avenue, New York, NY 10027, USA. da2006@columbia.edu
authors.forename: Dmitriy
authors.initials: D
authors.lastname: Aronov
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D008792:Metric System; D009474:Neurons / Q000502:physiology*