How we learn : why brains learn better than any machine ... for now /
Dehaene, Stanislas,
How we learn : why brains learn better than any machine ... for now / [print] Stanislas Dehaene. - First American edition. - New York, New York : Viking, [(c)2020. - xxviii, 319 pages, 16 unnumbered pages of plates : illustrations ; 24 cm
Based in part on: Apprendre! : les talents du cerveau, le defi des machines.
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.
"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"--
0525559884 9780525559887 9780525559894
2019036724
Neuroplasticity.
BF318.H699 2020 BF318.D322.H699 2020
How we learn : why brains learn better than any machine ... for now / [print] Stanislas Dehaene. - First American edition. - New York, New York : Viking, [(c)2020. - xxviii, 319 pages, 16 unnumbered pages of plates : illustrations ; 24 cm
Based in part on: Apprendre! : les talents du cerveau, le defi des machines.
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.
"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"--
0525559884 9780525559887 9780525559894
2019036724
Neuroplasticity.
BF318.H699 2020 BF318.D322.H699 2020