<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hogeveen J</submitter><funding>Intramural NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>National Institute of Mental Health</funding><funding>National Institute of General Medical Sciences</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><funding>National Science Foundation</funding><pagination>1869-1879.e5</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9167768</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>110(11)</volume><pubmed_abstract>Flexible decision-making requires animals to forego immediate rewards (exploitation) and try novel choice options (exploration) to discover if they are preferable to familiar alternatives. Using the same task and a partially observable Markov decision process (POMDP) model to quantify the value of choices, we first determined that the computational basis for managing explore-exploit tradeoffs is conserved across monkeys and humans. We then used fMRI to identify where in the human brain the immediate value of exploitative choices and relative uncertainty about the value of exploratory choices were encoded. Consistent with prior neurophysiological evidence in monkeys, we observed divergent encoding of reward value and uncertainty in prefrontal and parietal regions, including frontopolar cortex, and parallel encoding of these computations in motivational regions including the amygdala, ventral striatum, and orbitofrontal cortex. These results clarify the interplay between prefrontal and motivational circuits that supports adaptive explore-exploit decisions in humans and nonhuman primates.</pubmed_abstract><journal>Neuron</journal><pubmed_title>The neurocomputational bases of explore-exploit decision-making.</pubmed_title><pmcid>PMC9167768</pmcid><funding_grant_id>MH125824</funding_grant_id><funding_grant_id>ZIA MH002928</funding_grant_id><funding_grant_id>R01 MH125824</funding_grant_id><funding_grant_id>ZIA MH002929</funding_grant_id><funding_grant_id>P51 OD011092</funding_grant_id><funding_grant_id>P30GM122734</funding_grant_id><funding_grant_id>P20 GM109089</funding_grant_id><funding_grant_id>P20GM109089</funding_grant_id><funding_grant_id>P30 GM122734</funding_grant_id><pubmed_authors>Romero JD</pubmed_authors><pubmed_authors>Rogge-Obando K</pubmed_authors><pubmed_authors>Mullins TS</pubmed_authors><pubmed_authors>Costa VD</pubmed_authors><pubmed_authors>Eversole E</pubmed_authors><pubmed_authors>Hogeveen J</pubmed_authors><pubmed_authors>Mayer AR</pubmed_authors></additional><is_claimable>false</is_claimable><name>The neurocomputational bases of explore-exploit decision-making.</name><description>Flexible decision-making requires animals to forego immediate rewards (exploitation) and try novel choice options (exploration) to discover if they are preferable to familiar alternatives. Using the same task and a partially observable Markov decision process (POMDP) model to quantify the value of choices, we first determined that the computational basis for managing explore-exploit tradeoffs is conserved across monkeys and humans. We then used fMRI to identify where in the human brain the immediate value of exploitative choices and relative uncertainty about the value of exploratory choices were encoded. Consistent with prior neurophysiological evidence in monkeys, we observed divergent encoding of reward value and uncertainty in prefrontal and parietal regions, including frontopolar cortex, and parallel encoding of these computations in motivational regions including the amygdala, ventral striatum, and orbitofrontal cortex. These results clarify the interplay between prefrontal and motivational circuits that supports adaptive explore-exploit decisions in humans and nonhuman primates.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jun</publication><modification>2024-11-13T14:51:26.835Z</modification><creation>2024-11-13T14:51:26.835Z</creation></dates><accession>S-EPMC9167768</accession><cross_references><pubmed>35390278</pubmed><doi>10.1016/j.neuron.2022.03.014</doi></cross_references></HashMap>