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

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

Dehaene, Stanislas (author.).

Item details

  • ISBN: 0525559884
  • ISBN: 9780525559887
  • Physical Description: xxvii, 319 pages : illustrations (some color) ; 24 cm
  • Edition: First American edition.
  • Publisher: [New York, New York] : Viking, [2020]

Contents / Notes

General Note: Translation of: Apprendre! : les talents du cerveau, le défi des machines.
Bibliography, etc. Note: Includes bibliographical references and index.
Formatted Contents Note: 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, etc.: "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"--
Subject: Learning, Psychology of
Cognitive psychology
Cognitive science

Currently available copies

  • 1 / 4 copies available at PINES


  • 1 current holds
Library System: Library Branch Name
Call Number / Copy Notes Barcode Shelving Location Status  
Athens Regional Library System:
      Athens-Clarke County Library
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31001003866655 NEW-BKS Checked out
Azalea Regional Library System:
      Greene County Public Library
153.15 DEH
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31056008728656 ADULT Checked out
Clayton County Library System:
      Northwest Branch
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31012006099491 STACKS Available
West Georgia Regional Library System:
      Lithia Springs Betty C. Hagler Public Library
153.15 DEHAE
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31057014058104 NONFICTION In transit

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