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Author Dehaene, Stanislas, author.

Title How we learn : why brains learn better than any machine ... for now / Stanislas Dehaene.

Edition First American edition.
Publication Info. [New York, New York] : Viking, [2020]
Location Call No. Status
 95th Street Adult Nonfiction  153.15 DEH    AVAILABLE
 Naper Blvd. Adult Nonfiction  153.15 DEH    AVAILABLE
 Nichols Adult Nonfiction  153.15 DEH    AVAILABLE
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Description xxvii, 319 pages : illustrations (some color) ; 24 cm
Note Translation of: Apprendre! : les talents du cerveau, le défi des machines.
Bibliography Includes bibliographical references (pages 251-305) and index.
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.
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 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"-- Provided by publisher.
Subject Learning, Psychology of.
Cognitive psychology.
Neuroplasticity.
Cognitive science.
Added Title Collection "Apprendre". English.
ISBN 9780525559887 (hardcover)
0525559884
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