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
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