00000nam a2200000 i 4500 UP-1685675941131588027 Buklod 20240206132735.0 m o j ta 231125s2020 nyu a b 001 0 eng 9780525559887 (hardcover) 21366505 DLC eng rda DLS eng fre BF 318 D44 2020 Dehaene, Stanislas, author. Apprendre! English How we learn : why brains learn better than any machine ... for now Stanislas Dehaene. [New York, New York] Viking [2020] xviii, 319 pages, 16 unnumbered pages of plates : illustrations 24 cm. txt rdacontent text unmediated rdamedia nc rdacarrier volume Translation of: Apprendre! : les talents du cerveau, le défi des machines. Includes bibliographical references and index. 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"-- Provided by publisher. Cognitive psychology. Cognitive science. Learning, Psychology of. Neuroplasticity. FO UPD DLS BF 318 D44 2020 Book