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Time-resolved and time-scale adaptive measures of spike train synchrony

Articolo
Data di Pubblicazione:
2011
Abstract:
A wide variety of approaches to estimate the degree of synchrony between two or more spike trains have been proposed. One of the most recent methods is the ISI-distance which extracts information from the interspike intervals (ISIs) by evaluating the ratio of the instantaneous firing rates. In contrast to most previously proposed measures it is parameter free and time-scale independent. However, it is not well suited to track changes in synchrony that are based on spike coincidences. Here we propose the SPIKE-distance, a complementary measure which is sensitive to spike coincidences but still shares the fundamental advantages of the ISI-distance. In particular, it is easy to visualize in a time-resolved manner and can be extended to a method that is also applicable to larger sets of spike trains. We show the merit of the SPIKE-distance using both simulated and real data.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Time series analysis; Synchronization; Spike trains; Clustering; Neuronal coding
Elenco autori:
Kreuz, Thomas
Autori di Ateneo:
KREUZ THOMAS
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/1832
Pubblicato in:
JOURNAL OF NEUROSCIENCE METHODS
Journal
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URL

http://www.sciencedirect.com/science/article/pii/S0165027010006564
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