SPIKY: a graphical user interface for monitoring spike train synchrony

نویسندگان
چکیده

منابع مشابه

Innovative Methodology SPIKY: a graphical user interface for monitoring spike train synchrony

Kreuz T, Mulansky M, Bozanic N. SPIKY: a graphical user interface for monitoring spike train synchrony. J Neurophysiol 113: 3432–3445, 2015. First published March 5, 2015; doi:10.1152/jn.00848.2014.—Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike tr...

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Monitoring spike train synchrony

Recently, the SPIKE-distance has been proposed as a parameter-free and timescale-independent measure of spike train synchrony. This measure is time resolved since it relies on instantaneous estimates of spike train dissimilarity. However, its original definition led to spuriously high instantaneous values for eventlike firing patterns. Here we present a substantial improvement of this measure t...

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Title Monitoring spike train synchrony

25 Recently, the SPIKE-distance has been proposed as a parameter-free and time-scale independent 26 measure of spike train synchrony. This measure is time-resolved since it relies on instantaneous estimates 27 of spike train dissimilarity. However, its original definition led to spuriously high instantaneous values for 28 event-like firing patterns. Here we present a substantial improvement of ...

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Innovative Methodology Monitoring spike train synchrony

Thomas Kreuz, Daniel Chicharro, Conor Houghton, Ralph G. Andrzejak, and Florian Mormann Institute for Complex Systems, CNR, Sesto Fiorentino, Italy; Center for Neuroscience and Cognitive Systems@UniTn, Italian Institute of Technology, Rovereto (TN), Italy; Department of Computer Science, University of Bristol, Bristol, United Kingdom; Department of Information and Communication Technologies, Un...

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Measuring spike train synchrony.

Estimating the degree of synchrony or reliability between two or more spike trains is a frequent task in both experimental and computational neuroscience. In recent years, many different methods have been proposed that typically compare the timing of spikes on a certain time scale to be optimized by the analyst. Here, we propose the ISI-distance, a simple complementary approach that extracts in...

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ژورنال

عنوان ژورنال: BMC Neuroscience

سال: 2013

ISSN: 1471-2202

DOI: 10.1186/1471-2202-14-s1-p225