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How we learn : why brains learn better than any machine ... for now

Author: Stanislas Dehaene
Publisher: [New York, New York] : Viking, 2020.
Edition/Format:   Print book : English : First American editionView all editions and formats
Summary:
"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  Read more...
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Additional Physical Format: Online version:
Dehaene, Stanislas.
How we learn.
[New York, New York] : Viking, [2020]
(DLC) 2019036725
Document Type: Book
All Authors / Contributors: Stanislas Dehaene
ISBN: 9780525559887 0525559884
OCLC Number: 1102325935
Notes: Based in part on: Apprendre! : les talents du cerveau, le défi des machines.
Description: xxviii, 319 pages, 16 unnumbered pages of plates : illustrations (chiefly color) ; 24 cm
Contents: Seven definitions of learning --
Why our brain learns better than current machines --
Babies' invisible knowledge --
The birth of a brain --
Nurture's share --
Recycle your brain --
Attention --
Active engagement --
Error feedback --
Consolidation --
Conclusion. Reconciling education with neuroscience.
Other Titles: Apprendre!
Responsibility: Stanislas Dehaene.

Abstract:

"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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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. 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