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Selective Attention Improves Self-Organization of Cortical Maps with Multiple Inputs
http://hdl.handle.net/10445/5288
http://hdl.handle.net/10445/528849b8a2ef-cee6-4d47-99e6-fac271dbff39
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2010-11-29 | |||||
| タイトル | ||||||
| タイトル | Selective Attention Improves Self-Organization of Cortical Maps with Multiple Inputs | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
| 資源タイプ | conference object | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Trappenberg, Thomas
× Trappenberg, Thomas× Saito, Aya× Hartono, Pitoyo |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Models of self-organizing cortical maps have focused on demonstrations with single objects in the environment. Recently, the validity of a traditional biological model has been questioned for the case of multiple simultaneous input sources. Here we show that the standard model is able to self-organize with multiple inputs. However, we also show that the ability to self-organization can be enhanced considerably by including top-down attention as well as some noise. The model is also used to simulate the development of tuning curves. | |||||
| 書誌情報 |
Proc. International Joint Conference on Neural Networks (IJCNN 2010)(accepted) 発行日 2010 |
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| 査読有無 | ||||||
| 値 | あり/yes | |||||
| 研究業績種別 | ||||||
| 値 | 国際会議/International Conference | |||||
| 単著共著 | ||||||
| 値 | 共著/joint | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
