| Presentation | 2006-07-14 Dynamical System Model of Spatial Reward Learning Adam PONZI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Basal Ganglia based dynamical system model of reward learning is presented. Numerical simulations nicely reproduce restructuring of striatal MSN neuron activity in T-Maze task recently observed by Barnes et al.[1]. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Learning / Memory / Basal Ganglia / Reward / Dopamine / Replay / Dynamics / Non-linear feedback |
| Paper # | NC2006-41 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/7/7(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamical System Model of Spatial Reward Learning |
| Sub Title (in English) | |
| Keyword(1) | Learning |
| Keyword(2) | Memory |
| Keyword(3) | Basal Ganglia |
| Keyword(4) | Reward |
| Keyword(5) | Dopamine |
| Keyword(6) | Replay |
| Keyword(7) | Dynamics |
| Keyword(8) | Non-linear feedback |
| 1st Author's Name | Adam PONZI |
| 1st Author's Affiliation | RIKEN Brain Science Institute() |
| Date | 2006-07-14 |
| Paper # | NC2006-41 |
| Volume (vol) | vol.106 |
| Number (no) | 163 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |