| Presentation | 2002/12/6 Metric-space analysis for neural spike responses : Identification of spontaneous activity state Satoshi SAKAGUCHI, Yasunari YOKOTA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is important for elucidating neural coding mechanism to discriminate a neuron in an information transmitting state from that in a spontaneous activity. In this report, we propose a method for spike train analysis using the metric space framework based on the temporal coding hypothesis. We define a metric between any two spike trains using spike occurring time to know the spike temporal structure. It is shown that the spike train in a spontaneous activity not only differs from spike train in an information transmitting state but also Poisson spike train. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spike analysis / Metric-space analysis / Spontaneous activity |
| Paper # | MBE2002-84 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2002/12/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Metric-space analysis for neural spike responses : Identification of spontaneous activity state |
| Sub Title (in English) | |
| Keyword(1) | Spike analysis |
| Keyword(2) | Metric-space analysis |
| Keyword(3) | Spontaneous activity |
| 1st Author's Name | Satoshi SAKAGUCHI |
| 1st Author's Affiliation | Graduate School of Engineering, Gifu University() |
| 2nd Author's Name | Yasunari YOKOTA |
| 2nd Author's Affiliation | Faculty of Engineering, Gifu University |
| Date | 2002/12/6 |
| Paper # | MBE2002-84 |
| Volume (vol) | vol.102 |
| Number (no) | 507 |
| Page | pp.pp.- |
| #Pages | 4 |
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