| Presentation | 1995/7/27 Neural network model of brain which behaves and learns under the effect of attention to significant things Kenta Hori, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The study of the mechanisms for attention to significant things (significance-attention mechanism) is basical for both understanding human brain and disigning robots' controllers. Here, the neural network model of significance-attention mechanism is presented. Principles of this mechanism, value-learning mechanism, and learning-promotion mechanism are stated. Furthermore, structures in mammalian brain that correspond to these mechanisms are conjectured. Finally, computer simulation of a brain which embeds these mechanisms verified that the brain can navigate purposively by dynamically switching attention to significant things. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | attention / significance / value-learning / brain / mobile robot / adaptation / amygdala |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1995/7/27(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural network model of brain which behaves and learns under the effect of attention to significant things |
| Sub Title (in English) | |
| Keyword(1) | attention |
| Keyword(2) | significance |
| Keyword(3) | value-learning |
| Keyword(4) | brain |
| Keyword(5) | mobile robot |
| Keyword(6) | adaptation |
| Keyword(7) | amygdala |
| 1st Author's Name | Kenta Hori |
| 1st Author's Affiliation | Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University() |
| Date | 1995/7/27 |
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| Volume (vol) | vol.95 |
| Number (no) | 189 |
| Page | pp.pp.- |
| #Pages | 8 |
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