How We Learn by Stanislas Dehaene | Book Club

This event will be moderated by Denise W.
This book was suggested by: Denise W.

Pages to read: 206
ISBN: 9780525559887 (Originally listed edition)
ISBN: 9780525559894 (Edition I am Using)

While reading the book, consider the below questions:
•What is the raison d’etre of the book? For what purpose did the author write the book? Why do people read this book?
•What are some limitations of the book?
•What are the limits of evolution?
•Why do we learn?
•Nature versus nurture?
•What is the brain’s infrastructure?
•What happens during brain impairments?
•What is learning?
•What has changed in understanding the brain?
•What are some myths of learning?
•What prevents people from learning?
•What facilitates learning?
•What is the brain capable of from birth?
•How does the brain develop during childhood?
•What is memory?
•How to maintain a brain?
•How does the brain develop circuits?
•What changes does complex thoughts have on the brain?
•How do people interact with the world?
•What happens with new observations?
•How can learning get stuck?
•What is convolution neural networks?
•What are limitations to machine learning?
•Why is attention needed for learning?
•Why is active engagement needed for learning?
•Why is error feedback needed for learning?
•Why is consolidation needed for learning?
•Why is do people sleep?
•What is adversarial learning?

Your questions are important and will take priority. If you have questions about the book's content or related ideas, either let me know what your questions are or raise them during the discussion.

My review of the book:
https://www.inquiryreviews.com/2022/07/review-of-how-we-learn-why-brains-learn.html

Upcoming event:
https://www.meetup.com/Inquiry-Non-Fiction-Book-Club-for-Inquiring-Minds/events/

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Summary from Goodreads:
"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.