000			03344cam a22004578i 4500
001			2019036724
003			DLC
005			20250921160443.0
008			191229s2020 nyu b 001 0 eng
010			_a 2019036724
020			_a9780525559887 _q(hardcover)
020			_z9780525559894 _q(epub)
039			_a129257 _cTLC
040			_aLBSOR/DLC _beng _erda _cDLC _dTLC _erda
041	1		_aeng _hfre
042			_apcc
050	0	0	_aBF318 _b.D44 2020
082	0	0	_a153.1/5 _223
100	1		_aDehaene, Stanislas _eauthor. _0(DLC)n 93007066
240	1	0	_aApprendre! _lEnglish. _0(local)tlcaut4531501038300
245	1	0	_aHow we learn : _bwhy brains learn better than any machine ... for now / _cStanislas Dehaene.
263			_a2001
264		1	_a[New York, New York] : _bViking, _c[2020]
300			_a319pages 24cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
380			_aBook _2tlcgt
385			_aGeneral _2tlctarget
500			_aTranslation of: Apprendre! : les talents du cerveau, le défi des machines.
504			_aIncludes bibliographical references and index.
505	0		_aSeven 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"-- _cProvided by publisher.
650		0	_aLearning, Psychology of. _0(DLC)sh 85075526
650		0	_aCognitive psychology. _0(DLC)sh 87007652
650		0	_aNeuroplasticity. _0(DLC)sh 85091160
650		0	_aCognitive science. _0(DLC)sh 88006179
776	0	8	_iOnline version: _aDehaene, Stanislas. _sApprendre! English. _tHow we learn. _d[New York, New York] : Viking, [2020] _z9780525559894 _w(DLC) 2019036725
949			_aGANF _c153.1 DEH _g31030100234145 _p28.00 _j35084 _eGANF _fAvailable
942			_cBK
999			_c25649 _d25649