Journal article icon

Journal article

Comparing continual task learning in minds and machines

Abstract:

Humans can learn to perform multiple tasks in succession over the lifespan ("continual" learning), whereas current machine learning systems fail. Here, we investigated the cognitive mechanisms that permit successful continual learning in humans and harnessed our behavioral findings for neural network design. Humans categorized naturalistic images of trees according to one of two orthogonal task rules that were learned by trial and error. Training regimes that focused on individual rules for p...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1073/pnas.1800755115

Authors


More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Oxford college:
New College
Role:
Author
ORCID:
0000-0002-1843-9156
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Oxford college:
Wadham College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Oxford college:
Wolfson College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Oxford college:
Wadham College
Role:
Author
Publisher:
National Academy of Sciences Publisher's website
Journal:
Proceedings of the National Academy of Sciences of the United States of America Journal website
Volume:
115
Issue:
44
Pages:
E10313-E10322
Publication date:
2018-10-15
Acceptance date:
2018-09-19
DOI:
EISSN:
1091-6490
ISSN:
0027-8424
Pmid:
30322916
Source identifiers:
929732
Language:
English
Keywords:
Pubs id:
pubs:929732
UUID:
uuid:5f8eb699-735a-412b-a6fe-b288e02cf977
Local pid:
pubs:929732
Deposit date:
2019-01-25

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP