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

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...

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Veröffentlicht in:Journal of neuroscience methods Jg. 124; H. 2; S. 175 - 179
1. Verfasser: Aronov, Dmitriy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands Elsevier B.V 15.04.2003
Schlagworte:
Action Potentials - physiology
Algorithms
Dynamic programming algorithms
Metric spaces
Metric System
Multineuronal analysis
Neurons - physiology
Spike trains
Spike trains
Dynamic programming algorithms
Multineuronal analysis
Metric spaces
ISSN:0165-0270, 1872-678X
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0165-0270
1872-678X
DOI:10.1016/S0165-0270(03)00006-2