Details

Autor(en) / Beteiligte

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

Titel

Formalizing planning and information search in naturalistic decision-making

Ist Teil von

• Nature neuroscience, 2021-08, Vol.24 (8), p.1051-1064

Ort / Verlag

United States

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.