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  Learning rules

Dayan, P. (2020). Learning rules. Current Biology, 30(21), R1289-R1290. doi:10.1016/j.cub.2020.09.041.

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 Creators:
Dayan, P1, 2, Author              
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Why we learn, what we learn, what the conditions are under which we learn, how the learning happens, and what the answers to these questions imply about how we should teach are the topics of this urgent, compelling, and highly multidisciplinary book by Stanislas Dehaene. He is one of the world’s most storied and celebrated cognitive scientists and cognitive neuroscientists. Along the way, we get to enjoy some mental gymnastics concerning the joint roles of nature and nurture, a wealth of revealing and sometimes heart-wrenching individual examples, and a glimpse into the potential potency but current impoverishment of machine learning systems.

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 Dates: 2020-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.cub.2020.09.041
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Title: Current Biology
  Other : Curr. Biol.
Source Genre: Journal
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Publ. Info: London, UK : Cell Press
Pages: - Volume / Issue: 30 (21) Sequence Number: - Start / End Page: R1289 - R1290 Identifier: ISSN: 0960-9822
CoNE: https://pure.mpg.de/cone/journals/resource/954925579107