| Presentation | 2018-01-27 Neural Representations of Value Formation by Long-Term Learning Masaki Yonekawa, Saori Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is said that there are 2 types of human’s behavior, one is a stable behavior, the other is flexible behavior. According to previous studies, these behaviors are implemented in different regions of striatum which is the component of basal ganglia. However, previous studies have some problems that the task to investigate stable and flexible behavior is different between animal and human. For example, the study whose subjects are monkeys use a long-term value learning task which takes several months or years to make subjects acquire stable behavior. On the other hand, most research in humans use a short-term value learning task. Here, we identified regions involved in stable and flexible behavior by using functional magnetic resonance imaging (fMRI)fMRI during long-term value learning task. In addition to this, we conducted a task that subjects have to change value they learned in order to elucidate regions involved in flexible behavior. As a result, we found that posterior striatum is related to acquisition of stable behavior, the stronger stable behavior the richer information of anterior striatum and the stronger flexible behavior the richer information of posterior striatum. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | fMRI / value formation / striatum / long-term learning / machine learning |
| Paper # | NC2017-58 |
| Date of Issue | 2018-01-19 (NC) |
| Conference Information | |
| Committee | MBE / NC / NLP |
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| Conference Date | 2018/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural Representations of Value Formation by Long-Term Learning |
| Sub Title (in English) | |
| Keyword(1) | fMRI |
| Keyword(2) | value formation |
| Keyword(3) | striatum |
| Keyword(4) | long-term learning |
| Keyword(5) | machine learning |
| 1st Author's Name | Masaki Yonekawa |
| 1st Author's Affiliation | Nara Institute of Science and Technology/Advanced Telecommunications Research Institute International(NAIST/ATR) |
| 2nd Author's Name | Saori Tanaka |
| 2nd Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
| Date | 2018-01-27 |
| Paper # | NC2017-58 |
| Volume (vol) | vol.117 |
| Number (no) | NC-417 |
| Page | pp.pp.47-52(NC), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (NC) |