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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Metalearning (neuroscience) ： ウィキペディア英語版 Metalearning (neuroscience) Metalearning is a neuroscientific term proposed by Kenji Doya, as a theory for how neurotransmitters facilitate distributed learning mechanisms in the Basal Ganglia. The theory primarily involves the role of neurotransmitters in dynamically adjusting the way computational learning algorithms interact to produce the kinds of robust learning behaviour currently unique to biological life forms. 'Metalearning' has previously been applied to the fields of Social Psychology and Computer Science but in this context exists an entirely new concept. The theory of Metalearning builds off earlier work by Doya into the learning algorithms of Supervised learning, Reinforcement learning and Unsupervised learning in the Cerebellum, Basal Ganglia and Cerebral Cortex respectively. The theory emerged from efforts to unify the dynamic selection process for these three learning algorithms to a regulatory mechanism reducible to individual neurotransmitters. ==Roles of Neuromodulators== 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Metalearning (neuroscience)」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.