| Presentation | 2020-03-05 Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data Shun Kimura, Koujin Takeda, Keisuke Ota, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembles by focusing on synchronicity in neuronal activity. We first give the generative model of Bayesian inference by prior knowledge of neuronal activity, then we construct fast numerical inference algorithm using Markov chain Monte Carlo method. Moreover, we apply our algorithm to synthetic neuronal activity data and real spike data from mice for verification of utility, and discuss their results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neuronal ensemble inference / Bayesian inference / generative model / Markov chain Monte Carlo method |
| Paper # | NC2019-101 |
| Date of Issue | 2020-02-26 (NC) |
| Conference Information | |
| Committee | NC / MBE |
|---|---|
| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Electro Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Chair | Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.) |
| Vice Chair | Kazuyuki Samejima(Tamagawa Univ) / Takashi Watanabe(Tohoku Univ.) |
| Secretary | Kazuyuki Samejima(NAIST) / Takashi Watanabe(NTT) |
| Assistant | Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Yasuyuki Suzuki(Osaka Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data |
| Sub Title (in English) | |
| Keyword(1) | neuronal ensemble inference |
| Keyword(2) | Bayesian inference |
| Keyword(3) | generative model |
| Keyword(4) | Markov chain Monte Carlo method |
| 1st Author's Name | Shun Kimura |
| 1st Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 2nd Author's Name | Koujin Takeda |
| 2nd Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 3rd Author's Name | Keisuke Ota |
| 3rd Author's Affiliation | Riken(Riken) |
| Date | 2020-03-05 |
| Paper # | NC2019-101 |
| Volume (vol) | vol.119 |
| Number (no) | NC-453 |
| Page | pp.pp.149-154(NC), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (NC) |