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A deep learning framework for neuroscience

Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In the case of artificial neural networks, the three...

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書誌詳細
出版年:Nat Neurosci
主要な著者: Richards, Blake A., Lillicrap, Timothy P., Beaudoin, Philippe, Bengio, Yoshua, Bogacz, Rafal, Christensen, Amelia, Clopath, Claudia, Costa, Rui Ponte, de Berker, Archy, Ganguli, Surya, Gillon, Colleen J., Hafner, Danijar, Kepecs, Adam, Kriegeskorte, Nikolaus, Latham, Peter, Lindsay, Grace W., Miller, Ken, Naud, Richard, Pack, Christopher C., Poirazi, Panayiota, Roelfsema, Pieter, Sacramento, João, Saxe, Andrew, Scellier, Benjamin, Schapiro, Anna, Senn, Walter, Wayne, Greg, Yamins, Daniel, Zenke, Friedemann, Zylberberg, Joel, Therien, Denis, Kording, Konrad P.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7115933/
https://ncbi.nlm.nih.gov/pubmed/31659335
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41593-019-0520-2
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