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How we learn: Why Brains Learn Better Than Any Machine . . . for Now

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Pub. Date:
2020.
Language:
English
Description
"In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age. We can all "learn to learn" by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. The exciting advancements in A.I. of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities as well as in everyday life"--
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ISBN:
9780525559887
9780525559894
9780593165898
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Grouping Information

Grouped Work ID6a181bad-e19a-faf0-90f5-87de9a902778
Grouping Titlehow we learn why brains learn better than any machine for now
Grouping Authordehaene stanislas
Grouping Categorybook
Last Grouping Update2020-05-25 02:22:36AM
Last Indexed2020-05-25 02:28:56AM

Solr Details

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authorStanislas Dehaene
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display_description"In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age. We can all "learn to learn" by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. The exciting advancements in A.I. of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities as well as in everyday life"--
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ils:.b26196049BookBooksFirst American edition.EnglishViking, 2020.xviii, 319 pages : illustrations (some color) ; 24 cm
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subject_facetCognitive psychology
Cognitive science
Learning, Psychology of
Neuroplasticity
title_displayHow we learn : why brains learn better than any machine ... for now
title_fullHow We Learn Why Brains Learn Better Than Any Machine . . . for Now
How we learn : why brains learn better than any machine ... for now / Stanislas Dehaene
title_shortHow we learn
title_subWhy Brains Learn Better Than Any Machine . . . for Now
topic_facetCognitive psychology
Cognitive science
Education
Learning, Psychology of
Neuroplasticity
Nonfiction
Science