| Presentation | 2017-12-16 A mechanism of generating top-down influence on V1 neurons in adapting behavior to perceptual learning Ryo Tani, Shiro Yano, Yoshiki Kashimori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Neurophysiological experiments have provided evidence for a “simple-to-complex” processing model based on a hierarchy of increasing complex image features, performed along the feedforward pathway of the ventral visual system. On the other hand, visual system has abundant feedback connections, whose number is even larger than the feedforward ones. However, it remains unclear how top-down signals affect visual recognition. In this study, we focus on perceptual leaning of macaque monkeys. To address the role of top-down signals in visual recognition, we develop a model of visual system that consists of networks of V1, a higher area, and a recognition area. We also use reinforcement learning to acquire adaptive behavior. We show that the tuning modulations of V1 neurons are caused by the change in long-range connections of V1 neurons, elicited by the feedback from recognition area |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Visual recognition / primary visual cortex / neural model / reinforcement learning |
| Paper # | NC2017-44 |
| Date of Issue | 2017-12-09 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/12/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A mechanism of generating top-down influence on V1 neurons in adapting behavior to perceptual learning |
| Sub Title (in English) | |
| Keyword(1) | Visual recognition |
| Keyword(2) | primary visual cortex |
| Keyword(3) | neural model |
| Keyword(4) | reinforcement learning |
| 1st Author's Name | Ryo Tani |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Shiro Yano |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology(Tokyo Agriculture and Technology Univ.) |
| 3rd Author's Name | Yoshiki Kashimori |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2017-12-16 |
| Paper # | NC2017-44 |
| Volume (vol) | vol.117 |
| Number (no) | NC-361 |
| Page | pp.pp.23-28(NC), |
| #Pages | 6 |
| Date of Issue | 2017-12-09 (NC) |