| Presentation | 2016-07-05 Sparse Simultaneous Estimation of Phase Response Curves using Spike-Triggered Average Man Arakaki, Yasuhiko Igarashi, Toshiaki Omori, Masato Okada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Phase response curves (PRC) have been used extensively to estimate the response properties of neurons. A recent measurement method of the PRC is proposed to reconstruct PRC with the weighted spike-triggered average (WSTA), but the method needs a lot of spikes data to make the PRC data noiseless. A theoretical study proposed an efficient method to estimate the PRC assuming sparsity. In this study, we propose sparse estimation with not only the PRC data but also the spike-triggered average (STA) data obtained simultaneously with the PRC data to take more information into the PRC estimation. Using the differential relation between PRC and STA, we set an objective function including the PRC and STA's error function andestimate the PRC by means of linear regression with Fourier basis functions. Using simulated data obtained by spike response model, we show that our proposed method achieves a more accurate estimation of the PRCthan the recent proposed one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Phase Response Curve / Spike-Triggered Average / Sparsity / L1 Regularization / Spike Response Model |
| Paper # | NC2016-7 |
| Date of Issue | 2016-06-28 (NC) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
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| Conference Date | 2016/7/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Shigeo Sato(Tohoku Univ.) / / Kenji Fukumizu(ISM) |
| Vice Chair | Masafumi Hagiwara(Keio Univ.) / / Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Secretary | Masafumi Hagiwara(Kyoto Sangyo Univ.) / (Tokyo Inst. of Tech.) / Masashi Sugiyama / Hisashi Kashima(Univ. of Tokyo) / (Nagoya Inst. of Tech.) |
| Assistant | Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) / / Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sparse Simultaneous Estimation of Phase Response Curves using Spike-Triggered Average |
| Sub Title (in English) | |
| Keyword(1) | Phase Response Curve |
| Keyword(2) | Spike-Triggered Average |
| Keyword(3) | Sparsity |
| Keyword(4) | L1 Regularization |
| Keyword(5) | Spike Response Model |
| 1st Author's Name | Man Arakaki |
| 1st Author's Affiliation | University of Tokyo(Univ. Tokyo) |
| 2nd Author's Name | Yasuhiko Igarashi |
| 2nd Author's Affiliation | University of Tokyo(Univ. Tokyo) |
| 3rd Author's Name | Toshiaki Omori |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| 4th Author's Name | Masato Okada |
| 4th Author's Affiliation | University of Tokyo/RIKEN Brain Science Institute(Univ. Tokyo/RIKEN) |
| Date | 2016-07-05 |
| Paper # | NC2016-7 |
| Volume (vol) | vol.116 |
| Number (no) | NC-120 |
| Page | pp.pp.165-170(NC), |
| #Pages | 6 |
| Date of Issue | 2016-06-28 (NC) |