How we learn : why brains learn better than any machine ... for now
Item details
- ISBN: 9780525559887
- ISBN: 0525559884
-
Physical Description:
print
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. |
Find similar items by subject
Subject: | Learning, Psychology of Cognitive psychology Neuroplasticity Cognitive science |
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- 4 out of 4 copies are currently available at PINES.
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Library System: Library Branch Name
|
Call Number / Copy Notes | Barcode | Shelving Location | Status | |
---|---|---|---|---|---|
Athens Regional Library System: Athens-Clarke County Library |
NONFIC 153.15 DEHAENE (
Send Text) |
31001003866655 | NONFICTION | Available | |
Azalea Regional Library System: Greene County Public Library |
153.15 DEH (
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31056008728656 | ADULT | Available | |
Clayton County Library System: Northwest Branch |
153.15 DEHAENE, STANISLAS (
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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 | Available |
▼ Summaries & More
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"--