Le portail officiel :Ville de MontréalAccueilMon dossierAideEnglish
Site Web du Réseau des bibliothèques publiques de MontréalCatalogue Nelligan :  Toutes les collections – Adultes et Jeunes

Réserver ce titre Ajouter à vos coups de coeur Ajouter au panier Retourner à la liste Limiter / Trier la recherche Nouvelle recherche

Limiter la recherche aux exemplaires disponibles

Titre How we learn : why brains learn better than any machine ... for now / Stanislas Dehaene.
Auteur Dehaene, Stanislas, author
Éditeur [New York, New York] : Viking, [2020]
Notice 9 de 18
Résultat Titre précédent Titre suivant
Sujet anglais Learning, Psychology of
Cognitive psychology
Cognitive science
Sujet français Psychologie de l'apprentissage
Psychologie cognitive
Plasticité neuronale
Sciences cognitives
Description xxviii, 319 pages : illustrations (some color) ; 24 cm.
Note Translation of : Apprendre! : les talents du cerveau, le défi des machines.
Bibliographie Includes bibliographical references (pages 251-305) and index.
Dépouillement 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.
Résumé "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.
ISBN 9780525559887 hardcover
Autre titre Apprendre!. English
Bibliothèque Note Cote Statut
 L'OCTOGONE - Adultes - Documentaires    153.15 D322.3b 2020  DISPONIBLE
 SAUL-BELLOW - Adultes - Documentaires    370.15 DEH  DISPONIBLE
Notice 9 de 18
Résultat Titre précédent Titre suivant

  Crédit, bandeau Nelligan :
Roseline Granet, Monument à Émile Nelligan (2005).
Square Saint-Louis, arrondissement du Plateau-Mont-Royal, ©Ville de Montréal 2006.