| Presentation | 2004/7/20 Search for optimal measure to discriminate random and regular spike trains Keiji MIURA, Masato OKADA, Shigeru SHINOMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We search for optimal measure to discriminate two spike trains which have the same firing rate but different randomness. We use gamma distribution to generate spike trains. We show that we can choose two parameters in gamma distribution as orthogonal coordinates in the sense of information geometry and one of the coordinates corresponds to firing rate. With the coordinate fixed, we generate spike trains having the same firing rate but different randomness. We impose symmetry conditions on the measures which we search for, and it turns out that candidates have only small number of parameters. We determined the optimal measure among the candidates using maximam mutual information principles. We found that L_V is optimal for spike trains whose ISI distributions are close to those of experimental data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | gamma distribution / mutual information / neuroscience / information geometry / local variation |
| Paper # | NC2004-52 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/7/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Search for optimal measure to discriminate random and regular spike trains |
| Sub Title (in English) | |
| Keyword(1) | gamma distribution |
| Keyword(2) | mutual information |
| Keyword(3) | neuroscience |
| Keyword(4) | information geometry |
| Keyword(5) | local variation |
| 1st Author's Name | Keiji MIURA |
| 1st Author's Affiliation | Graduate School of Science, Kyoto University:Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN() |
| 2nd Author's Name | Masato OKADA |
| 2nd Author's Affiliation | Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN:"Intelligent Cooperation and Control", PRESTO, JST |
| 3rd Author's Name | Shigeru SHINOMOTO |
| 3rd Author's Affiliation | Graduate School of Science, Kyoto University |
| Date | 2004/7/20 |
| Paper # | NC2004-52 |
| Volume (vol) | vol.104 |
| Number (no) | 226 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |