SPIKY: a graphical user interface for monitoring spike train synchrony

Journal of Neurophysiology
Thomas KreuzNebojsa Bozanic

Abstract

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 train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years three time-resolved measures of spike train synchrony have been proposed, the ISI-distance, the SPIKE-distance, and event synchronization. The Matlab source codes for calculating and visualizing these measures have been made publicly available. However, due to the many different possible representations of the results the use of these codes is rather complicated and their application requires some basic knowledge of Matlab. Thus it became desirable to provide a more user-friendly and interactive interface. Here we address this need and present SPIKY, a graphical user interface that facilitates the application of time-resolved measures of spike train synchrony to both simulated and real data. SPIKY includes implementations of the ISI-distance, the SPIKE-distance, and the SPIKE-synchronization (an improved and simplified extensi...Continue Reading

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Citations

Feb 24, 2016·Frontiers in Neuroscience·Salvador Dura-BernalWilliam W Lytton
Nov 11, 2018·The European Journal of Neuroscience·André Holzbecher, Richard Kempter
Aug 19, 2017·Scientific Reports·G PalazzoloF Difato
Jan 17, 2020·Nature Communications·Oren AmsalemIdan Segev
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Aug 17, 2019·Frontiers in Neuroinformatics·Valentina A Unakafova, Alexander Gail
Aug 6, 2020·Chaos·Alessio PerinelliLeonardo Ricci
Jun 25, 2020·Physical Review. E·Adrian Odenweller, Reik V Donner
Aug 15, 2019·Network Neuroscience·Jean-Baptiste BardinKathryn Hess
Nov 11, 2020·PLoS Biology·Silvio MaciasMichael Smotherman
Apr 15, 2021·Neuroinformatics·Gorana MijatovicLuca Faes
May 18, 2021·PLoS Computational Biology·Gloria CecchiniThomas Kreuz

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