2009 Fiscal Year Final Research Report
A study of information representation in learning and memory and its application to artificial models.
| Project/Area Number |
19200014
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tamagawa University |
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Principal Investigator |
TSUKADA Minoru Tamagawa University, 脳科学研究所, 教授 (80074392)
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| Co-Investigator(Renkei-kenkyūsha) |
KOJIMA Hiroshi 玉川大学, 工学部, 教授 (50281671)
KOJIMA Hiroshi 玉川大学, 工学部, 教授 (50143384)
OKADA Hiroyuki 玉川大学, 工学部, 教授 (10349326)
SAKAI Yutaka 玉川大学, 脳科学研究所, 准教授 (70323376)
OKUDA Jiro 京都産業大学, コンピュータ理工学科, 准教授 (80384725)
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| Project Period (FY) |
2007 – 2009
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| Keywords | 時空間学習則 / ヘブ学習則 / 記憶の情報表現 / 計算論モデル |
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| Research Abstract |
In storing memory, sensory information (bottom-up) and awareness, consciousness and forecast information (top-down) interact on weight space of neural network. Our research revealed that spatio-temporal learning rule(STLR) and Hebb rule coexist in single pyramidal neurons of the hippocampal CA1 area. In STLR mechanism, synaptic weight changes on dendrite are determined by local association of input neurons (bottom-up) without soma firing whereas in Hebb mechanism the soma fires by top-down information such as awareness, consciousness and forecast (top-down). The coexistence of STLR (local) and Hebb (global) on the neuronal level may support this dynamic process that repeats itself until the internal model fits the external environment. These results were effectively applied to the artificial model.
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[Journal Article] 聴覚事象関連電位への神経デコーディングの適用:統計的識別手法の比較と脳波分析方法としての評価2009
Author(s)
井上康之, 小川昭利, 荒井宏太, 松本秀彦, 松嵜直幸, 小山幸子, 豊巻敦人, 大森隆司, 諸富隆, 竹市博臣, 北崎充晃
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Journal Title
基礎心理学研究 28(1)
Pages: 44-58
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