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Stimulus–response model : ウィキペディア英語版 | Stimulus–response model The stimulus–response model is a characterization of a statistical unit (such as a neuron) as a black box model, predicting a quantitative response to a quantitative stimulus, for example one administered by a researcher. ==Fields of application==
Stimulus–response models are applied in international relations,〔 〕 psychology,〔 〕 risk assessment,〔 〕 neuroscience,〔 〕 neurally-inspired system design,〔 〕 and many other fields.
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「Stimulus–response model」の詳細全文を読む
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