Formalizing planning and information search in naturalistic decision-making

L. T. Hunt*, N. D. Daw, P. Kaanders, M. A. MacIver, U. Mugan, E. Procyk, A. D. Redish, E. Russo, J. Scholl, K. Stachenfeld, C. R.E. Wilson, N. Kolling

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1051-1064
Number of pages14
JournalNature neuroscience
Volume24
Issue number8
DOIs
StatePublished - Aug 2021

ASJC Scopus subject areas

  • Neuroscience(all)

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