| Presentation | 2005/6/16 Statistical Mechanics of a Spike Analysis Method using Log-Linear Model Hayaru SHOUNO, Masato OKADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, Multi-electrodes detector, which consists of a lot of electrodes, is enable to measure a lot of neuron spike signals simultaneously. To analyze the spike signals, we applied a log-linear model. In this study, we analyze the log-linear model of spike signals as a Ising-spin system, which is used in the field of statistical mechanics. In the log-linear model, we assumed that the interactions in the model are obeyed to the multidimensional normal distribution, and the noise flip is occurred in the observed process. To estimate the interactions, which is called hyper-parameters, we use maximization of log-likelihood function. For maximization process, we applied gradient accent method and EM algorithm, and derived averaged evaluations for each algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Statistical mechanics / Log-linear model / Spike analysis |
| Paper # | NC2005-9 |
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| Committee | NC |
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| Conference Date | 2005/6/16(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) | Statistical Mechanics of a Spike Analysis Method using Log-Linear Model |
| Sub Title (in English) | |
| Keyword(1) | Statistical mechanics |
| Keyword(2) | Log-linear model |
| Keyword(3) | Spike analysis |
| 1st Author's Name | Hayaru SHOUNO |
| 1st Author's Affiliation | Faculty of Engineering, Yamaguchi Univ.() |
| 2nd Author's Name | Masato OKADA |
| 2nd Author's Affiliation | Graduate School of Frontier Science, University of Tokyo:RIKEN BSI |
| Date | 2005/6/16 |
| Paper # | NC2005-9 |
| Volume (vol) | vol.105 |
| Number (no) | 130 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |