dorsal/arxiv
View SchemaSearch for optimal measure for discriminating spike trains with different randomness
| Authors | K. Miura, M. Okada, S. Shinomoto |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0505024 |
| URL | https://arxiv.org/abs/q-bio/0505024 |
Abstract
We wish to discriminate spike sequences based on the degree of irregularity. For this purpose, we search for a rational expressions of quadratic functions of consecutive interspike intervals that efficiently measures spiking irregularity. Under natural assumptions, the functional form of the coefficient can be parameterized by a single parameter. The parameter is determined so as to maximize the mutual information between the distributions of coefficients computed for spike sequences derived from different renewal point processes. We find that the local variation of interspike intervals, LV (Neural Comput. Vol. 15, pp. 2823-42, 2003), is nearly optimal for whose intrinsic irregularity is close to that of experimental data.
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"abstract": "We wish to discriminate spike sequences based on the degree of irregularity.\nFor this purpose, we search for a rational expressions of quadratic functions\nof consecutive interspike intervals that efficiently measures spiking\nirregularity. Under natural assumptions, the functional form of the coefficient\ncan be parameterized by a single parameter. The parameter is determined so as\nto maximize the mutual information between the distributions of coefficients\ncomputed for spike sequences derived from different renewal point processes. We\nfind that the local variation of interspike intervals, LV (Neural Comput. Vol.\n15, pp. 2823-42, 2003), is nearly optimal for whose intrinsic irregularity is\nclose to that of experimental data.",
"arxiv_id": "q-bio/0505024",
"authors": [
"K. Miura",
"M. Okada",
"S. Shinomoto"
],
"categories": [
"q-bio.NC"
],
"title": "Search for optimal measure for discriminating spike trains with different randomness",
"url": "https://arxiv.org/abs/q-bio/0505024"
},
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