 |
Journal articles
Formalising planning and information search in naturalistic decision-making
Hunt Lt
1
N. Daw
2
P. Kaanders
1
M A Maclaver
3
U. Mugan
3
Emmanuel Procyk
4
A. Redish
5
E. Russo
6, 7
Jacqueline Scholl
1
K. Stachenfeld
8
Charles R.E. Wilson
4
Nils Kolling
1
8
DeepMind
U. Mugan 3
Author
Emmanuel Procyk 4
Author IdHAL : emmanuel-procyk ResearcherId : http://www.researcherid.com/rid/H-3037-2014 ORCID : https://orcid.org/0000-0001-7486-4993
A. Redish 5
Author
E. Russo 6, 7
Author
Jacqueline Scholl 1
Author
K. Stachenfeld 8
Author
Charles R.E. Wilson 4
Author IdHAL : charlie-wilson ResearcherId : http://www.researcherid.com/rid/H-3059-2014 ORCID : https://orcid.org/0000-0001-9497-919X
Nils Kolling 1
Author Employer institution : Institut National de la Santé et de la Recherche Médicale
1
University of Oxford [Oxford] (Wellington Square, Oxford OX1 2JD - United Kingdom)
2
Princeton University (Princeton, NJ 08544 USA - United States)
3
Northwestern University [Evanston] (633 Clark Street, Evanston, IL 60208 Evanston - United States)
4
U1208 Inserm - UCBL1 / SBRI - Institut cellule souche et cerveau / Stem Cell and Brain Research Institute (18 avenue du Doyen Lépine
69500 Bron Cedex - France)
- UCBL - Université Claude Bernard Lyon 1 (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)
- Université de Lyon (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U1208 (101, rue de Tolbiac, 75013 Paris - France)
5
UMN - University of Minnesota [Twin Cities] (Minneapolis/St.Paul - United States)
- University of Minnesota System (United States)
Abstract : Decisions made by mammals and birds are often temporally extended. They require planning and sampling of decision-relevant information. Our understanding of such decision-making remains in its infancy compared with simpler, forced-choice paradigms. However, recent advances in algorithms supporting planning and information search provide a lens through which we can explain neural and behavioral data in these tasks. We review these advances to obtain a clearer understanding for why planning and curiosity originated in certain species but not others; how activity in the medial temporal lobe, prefrontal and cingulate cortices may support these behaviors; and how planning and information search may complement each other as means to improve future action selection.
Document type :
Journal articles
Domain :
Complete list of metadata
https://www.hal.inserm.fr/inserm-03354461
Contributor : Emmanuel Procyk Connect in order to contact the contributor
Submitted on : Saturday, September 25, 2021 - 10:10:28 AM
Last modification on : Tuesday, September 28, 2021 - 3:22:50 AM
Contributor : Emmanuel Procyk Connect in order to contact the contributor
Submitted on : Saturday, September 25, 2021 - 10:10:28 AM
Last modification on : Tuesday, September 28, 2021 - 3:22:50 AM
File
Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-02-21Please log in to resquest access to the document
Identifiers
- HAL Id : inserm-03354461, version 1
- DOI : 10.1038/s41593-021-00866-w
- PUBMED : 34155400
Collections
INSERM | UNIV-LYON1 | UDL
Citation
Hunt Lt, N. Daw, P. Kaanders, M A Maclaver, U. Mugan, et al.. Formalising planning and information search in naturalistic decision-making. Nature Neuroscience, Nature Publishing Group, 2021, 24 (8), pp.1051-1064. ⟨10.1038/s41593-021-00866-w⟩. ⟨inserm-03354461⟩
Metrics
Record views