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Beyond “incentive hope”: Information sampling and learning under reward uncertainty

Published online by Cambridge University Press:  19 March 2019

Maya Zhe Wang Open the ORCID record for Maya Zhe Wang [Opens in a new window]  and
Benjamin Y. Hayden Open the ORCID record for Benjamin Y. Hayden [Opens in a new window]
Maya Zhe Wang
Affiliation:
Department of Brain and Cognitive Sciences and Center for Visual Sciences, University of Rochester, Rochester, NY 14627 Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455. [email protected]@gmail.comhaydenlab.com
Benjamin Y. Hayden
Affiliation:
Department of Neuroscience and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455. [email protected]@gmail.comhaydenlab.com
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Abstract

Information seeking, especially when motivated by strategic learning and intrinsic curiosity, could render the new mechanism “incentive hope” proposed by Anselme & Güntürkün sufficient, but not necessary to explain how reward uncertainty promotes reward seeking and consumption. Naturalistic and foraging-like tasks can help parse motivational processes that bridge learning and foraging behaviors and identify their neural underpinnings.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 42 , 2019 , e56
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Copyright
Copyright © Cambridge University Press 2019 

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