Measuring spike train synchrony and reliability (Abstract/Poster in rivista)

Type
Label
  • Measuring spike train synchrony and reliability (Abstract/Poster in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1186/1471-2202-8-S2-P79 (literal)
Alternative label
  • Thomas Kreuz (1); Julie S Haas (2); Alice Morelli (3); Henry DI Abarbanel (2,4), Antonio Politi (1) (2007)
    Measuring spike train synchrony and reliability
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Thomas Kreuz (1); Julie S Haas (2); Alice Morelli (3); Henry DI Abarbanel (2,4), Antonio Politi (1) (literal)
Pagina inizio
  • 79 (literal)
Pagina fine
  • 79 (literal)
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  • Part of the supplement: Sixteenth Annual Computational Neuroscience Meeting: CNS*2007. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.biomedcentral.com/1471-2202/8/S2/P79 (literal)
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  • 8 (literal)
Rivista
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  • 1 (literal)
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  • Suppl2 (literal)
Note
  • Poster (literal)
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  • (1) Istituto dei Sistemi Complessi - CNR, Sesto Fiorentino, Italy (2) Institute for Nonlinear Sciences, University of California, San Diego, CA, USA (3) Istituto Nazionale di Ottica Applicata, Firenze, Italy (4) Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography), University of California, San Diego, CA, USA (literal)
Titolo
  • Measuring spike train synchrony and reliability (literal)
Abstract
  • Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experi- mental and computational neuroscience. In recent years, many different methods have been proposed that typi- cally compare the timing of spikes on a certain time scale to be fixed beforehand. In this study [1], we propose the ISI-distance, a simple complementary approach that extracts information from the interspike intervals by eval- uating the ratio of the instantaneous frequencies. The method is parameter free, time scale independent and easy to visualize as illustrated by an application to real neuronal spike trains obtained in vitro from rat slices (cf. [2]). We compare the method with six existing approaches (two spike train metrics [3,4], a correlation measure [2,5], a similarity measure [6], and event synchronization [7]) using spike trains extracted from a simulated Hinde- marsh-Rose network [8]. In this comparison the ISI-dis- tance performs as well as the best time-scale-optimized measure based on spike timing, without requiring an externally determined time scale for interaction or com- parison. (literal)
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