dorsal/arxiv
View SchemaMeasuring spike train synchrony
| Authors | Thomas Kreuz, Julie S. Haas, Alice Morelli, Henry D. I. Abarbanel, Antonio Politi |
|---|---|
| Categories | |
| ArXiv ID | physics/0701261 |
| URL | https://arxiv.org/abs/physics/0701261 |
| DOI | 10.1016/j.jneumeth.2007.05.031 |
| Journal | J Neurosci Methods 165, 151 (2007) |
Abstract
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 fixed beforehand. Here, we propose the ISI-distance, a simple complementary approach that extracts information from the interspike intervals by evaluating 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. In a comparison with existing approaches on spike trains extracted from a simulated Hindemarsh-Rose network, the ISI-distance performs as well as the best time-scale-optimized measure based on spike timing.
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"abstract": "Estimating the degree of synchrony or reliability between two or more spike\ntrains is a frequent task in both experimental and computational neuroscience.\nIn recent years, many different methods have been proposed that typically\ncompare the timing of spikes on a certain time scale to be fixed beforehand.\nHere, we propose the ISI-distance, a simple complementary approach that\nextracts information from the interspike intervals by evaluating the ratio of\nthe instantaneous frequencies. The method is parameter free, time scale\nindependent and easy to visualize as illustrated by an application to real\nneuronal spike trains obtained in vitro from rat slices. In a comparison with\nexisting approaches on spike trains extracted from a simulated Hindemarsh-Rose\nnetwork, the ISI-distance performs as well as the best time-scale-optimized\nmeasure based on spike timing.",
"arxiv_id": "physics/0701261",
"authors": [
"Thomas Kreuz",
"Julie S. Haas",
"Alice Morelli",
"Henry D. I. Abarbanel",
"Antonio Politi"
],
"categories": [
"physics.bio-ph",
"physics.data-an",
"q-bio.NC"
],
"doi": "10.1016/j.jneumeth.2007.05.031",
"journal_ref": "J Neurosci Methods 165, 151 (2007)",
"title": "Measuring spike train synchrony",
"url": "https://arxiv.org/abs/physics/0701261"
},
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