How we learn : why brains learn better than any machine ... for now / Stanislas Dehaene.

By: Material type: TextTextLanguage: English Original language: French Publisher: [New York, New York] : Viking, 2021Description: xxviii, 319 pages, 16 unnumbered pages of plates : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780525559900 (softcover)
  • 0525559906 (softcover)
Uniform titles:
  • Apprendre! English
Subject(s): Additional physical formats: Online version:: How we learn.DDC classification:
  • 153.1/5
LOC classification:
  • BF 318 D322h 2021
Contents:
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.
Summary: 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-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Translation of: Apprendre! : les talents du cerveau, le défi des machines.
published in France by Odile Jacob, Paris, in 2018."--Title page verso

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.

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-- Provided by publisher.

There are no comments on this title.

to post a comment.