MARC details
000 -LEADER |
fixed length control field |
02964cam a2200385 i 4500 |
001 - CONTROL NUMBER |
control field |
on1102325935 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240726104033.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
191229s2020 nyuaf b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2019036724 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780525559887 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780525559894 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
LBSOR/DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
OCLCO |
-- |
IEB |
-- |
TCH |
-- |
DGU |
-- |
OCLCF |
-- |
VP@ |
041 1# - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
Language code of original |
fre |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
SBIM |
050 04 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
BF318 |
Item number |
.H699 2020 |
050 04 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
BF318 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Dehaene, Stanislas, |
Relator term |
Author |
Authority record control number or standard number |
http://id.loc.gov/authorities/names/n93007066 |
245 10 - TITLE STATEMENT |
Title |
How we learn : |
Remainder of title |
why brains learn better than any machine ... for now / |
Statement of responsibility, etc. |
Stanislas Dehaene. |
250 ## - EDITION STATEMENT |
Edition statement |
First American edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York, New York : |
Name of publisher, distributor, etc. |
Viking, |
Date of publication, distribution, etc. |
(c)2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxviii, 319 pages, 16 unnumbered pages of plates : |
Other physical details |
illustrations ; |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Media type code |
n |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Carrier type code |
nc |
Source |
rdacarrier |
500 ## - GENERAL NOTE |
General note |
Based in part on: Apprendre! : les talents du cerveau, le defi des machines. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
|
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
Seven definitions of learning -- |
Title |
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. |
520 0# - SUMMARY, ETC. |
Summary, etc. |
"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"-- |
Assigning source |
|
530 ## - COPYRIGHT INFORMATION: |
COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Neuroplasticity. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Circulating Book (checkout times vary with patron status) |
Classification part |
BF |
PUBLICATION YEAR |
2020 |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha issues (borrowed), all copies |
1 |
REPLACEMENT COST (GET FROM AMAZON) |
14.49 |
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
a |
1 |
b |
Cynthia Snell |
c |
1 |
d |
Cynthia Snell |