How 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
Book - 2020

"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"--

Guardado en:

Holdings -

South Hill

Barcode Status Material Type CallNumber
37413318638550 Checked out Non-fiction 153.15 DEHAENE
Detalles Bibliográficos
Autor principal: Dehaene, Stanislas (Autor)
Formato: Libro
Lenguaje:English
Publicado: [New York, New York] : Viking, [2020]
Edición:First American edition.
Materias:

MARC

LEADER 00000pam a2200000 i 4500
001 692230
005 20200401091100.0
008 191229s2020 nyua b 001 0 eng
010 |a  2019036724 
020 |a 9780525559887  |q (hardcover) 
020 |a 0525559884 
035 |a (OCoLC)1102325935 
040 |a LBSOR/DLC  |b eng  |e rda  |c DLC  |d IMmBT 
041 1 |a eng  |h fre 
042 |a pcc 
082 0 0 |a 153.1/5  |2 23 
092 0 |a 153.15 DEHAENE 
100 1 |a Dehaene, Stanislas,  |e author. 
240 1 0 |a Apprendre!  |l English 
245 1 0 |a How we learn :  |b why brains learn better than any machine ... for now /  |c Stanislas Dehaene. 
250 |a First American edition. 
264 1 |a [New York, New York] :  |b Viking,  |c [2020] 
300 |a xxvii, 319 pages :  |b illustrations (some color) ;  |c 24 cm 
336 |a text  |b txt  |2 rdacontent 
337 |a unmediated  |b n  |2 rdamedia 
338 |a volume  |b nc  |2 rdacarrier 
500 |a Translation of: Apprendre! : les talents du cerveau, le défi des machines. 
504 |a Includes bibliographical references (pages 251-305) and index. 
505 0 |a 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. 
520 |a "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"--  |c Provided by publisher. 
650 0 |a Learning, Psychology of. 
650 0 |a Cognitive psychology. 
650 0 |a Neuroplasticity. 
650 0 |a Cognitive science. 
776 0 8 |i Online version:  |a Dehaene, Stanislas.  |s Apprendre! English.  |t How we learn.  |d [New York, New York] : Viking, [2020]  |z 9780525559894  |w (DLC) 2019036725 
949 |b 37413318638550  |c newanf  |d prta  |e 153.15 DEHAENE  |g so  |h 28.00  |q 1600423 
998 |a 2019.11.07 
999 f f |i dd9718e7-f888-52cb-b371-e2c5dd263eb1  |s 860a8b54-97e4-5adc-bea0-c938815bfeca  |t 0 
952 f f |p Standard Circulation  |a City of Spokane  |b Spokane Public Library  |c Branches  |d South Hill  |t 0  |e 153.15 DEHAENE  |h Dewey Decimal classification  |i Non-fiction  |m 37413318638550