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How We Learn

Why Brains Learn Better Than Any Machine . . . for Now

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How We Learn

De : Stanislas Dehaene
Lu par : Kaleo Griffith
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À propos de ce titre
 “There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”—The New York Times Book Review

An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them

The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency?

In How We Learn, Stanislas Dehaene 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 and at any age. Bildung Seelische & Geistige Gesundheit Wissenschaft

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Avis de la critique

"There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within . . . His explanation of the basic machinery of the brain is an excellent primer.”—The New York Times Book Review

“[An] expert overview of learning . . . Never mind our opposable thumb, upright posture, fire, tools, or language; it is education that enabled humans to conquer the world . . . Dehaene's fourth insightful exploration of neuroscience will pay dividends for attentive readers.”—Kirkus Reviews

“[Dehaene] rigorously examines our remarkable capacity for learning. The baby brain is especially awesome and not a ‘blank slate’ . . . Dehaene’s portrait of the human brain is fascinating.”—Booklist

“A richly instructive [book] for educators, parents, and others interested in how to most effectively foster the pursuit of knowledge.” —Publishers Weekly

Praise for Reading in the Brain:

"Splendid...Dehaene reveals how decades of low-tech experiments and high-tech brain-imaging studies have unwrapped the mystery of reading and revealed its component parts...A pleasure to read. [Dehaene] never oversimplifies; he takes the time to tell the whole story, and he tells it in a literate way."—The Wall Street Journal

"Masterful...a delight to read and scientifically precise."—Nature

Praise for Consciousness and the Brain:

"Ambitious . . . Dehaene offers nothing less than a blueprint for brainsplaining one of the world's deepest mysteries. . . . [A] fantastic book."—The Washington Post

"Dehaene is a maestro of the unconscious."—Scientific American Mind

"Brilliant... Essential reading for those who want to experience the excitement of the search for the mind in the brain."—Nature
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Les plus pertinentes
Through comparison of human learning and machine learning, Prof. Dehaene gave us a very detailed insight of the future of education.

How to educate

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The book argues for a more complex approach for developing intelligent computer systems by highlighting differences between current systems and the learning brain. Conversely, the author also argues for an educational approach rooted in modern neuroscience research, including ideas for optimizing learning.
The book contains importante ideas for understanding ourselves and our learning path, but also for teachers and parents aiming to help children on their own individual path.

Bringing modern neuroscience research to education

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In my opinion this book should be a set book, because it's a fundamental necessity to understand, how our brain works in order to efficiently use it and to better understand oneself. This books reasonably summarises basic neuroscientific knowledge and evaluates it's consequences. One remark is the lack of examples for some concepts and it's sometimes a little hard to understand for beginners, although this remark is only small and probably subjective. Another remark is the slightly misleading title, which made me hope the author would speculate about the future of artificial intelligence, unfortunately it's was only briefly mentioned. The book was quite interesting and informative and I would recommend it, especially if you have children yourself.

Better understand oneself

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