Literature DB >> 35390278

The neurocomputational bases of explore-exploit decision-making.

Jeremy Hogeveen1, Teagan S Mullins2, John D Romero2, Elizabeth Eversole2, Kimberly Rogge-Obando3, Andrew R Mayer4, Vincent D Costa5.   

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.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  amygdala; computational modeling; decision-making; exploration; explore-exploit dilemma; fMRI; frontopolar cortex; reinforcement learning; reward; striatum

Mesh:

Year:  2022        PMID: 35390278      PMCID: PMC9167768          DOI: 10.1016/j.neuron.2022.03.014

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   18.688


  36 in total

1.  Neurophysiological investigation of the basis of the fMRI signal.

Authors:  N K Logothetis; J Pauls; M Augath; T Trinath; A Oeltermann
Journal:  Nature       Date:  2001-07-12       Impact factor: 49.962

2.  Subcortical Substrates of Explore-Exploit Decisions in Primates.

Authors:  Vincent D Costa; Andrew R Mitz; Bruno B Averbeck
Journal:  Neuron       Date:  2019-06-10       Impact factor: 17.173

3.  NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB.

Authors:  Jaewon Hwang; Andrew R Mitz; Elisabeth A Murray
Journal:  J Neurosci Methods       Date:  2019-05-06       Impact factor: 2.390

4.  Rostrolateral prefrontal cortex and individual differences in uncertainty-driven exploration.

Authors:  David Badre; Bradley B Doll; Nicole M Long; Michael J Frank
Journal:  Neuron       Date:  2012-02-09       Impact factor: 17.173

5.  Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling.

Authors:  Gang Chen; Yaqiong Xiao; Paul A Taylor; Justin K Rajendra; Tracy Riggins; Fengji Geng; Elizabeth Redcay; Robert W Cox
Journal:  Neuroinformatics       Date:  2019-10

Review 6.  Emergence of abstract rules in the primate brain.

Authors:  Farshad Alizadeh Mansouri; David J Freedman; Mark J Buckley
Journal:  Nat Rev Neurosci       Date:  2020-09-14       Impact factor: 34.870

7.  Uncertainty about mapping future actions into rewards may underlie performance on multiple measures of impulsivity in behavioral addiction: evidence from Parkinson's disease.

Authors:  Bruno B Averbeck; Atbin Djamshidian; Sean S O'Sullivan; Charlotte R Housden; Jonathan P Roiser; Andrew J Lees
Journal:  Behav Neurosci       Date:  2013-04       Impact factor: 1.912

8.  Controllability over stressor decreases responses in key threat-related brain areas.

Authors:  Chirag Limbachia; Kelly Morrow; Anastasiia Khibovska; Christian Meyer; Srikanth Padmala; Luiz Pessoa
Journal:  Commun Biol       Date:  2021-01-05

9.  Testing the adolescent social reorientation model during self and other evaluation using hierarchical growth curve modeling with parcellated fMRI data.

Authors:  Danielle Cosme; John C Flournoy; Jordan L Livingston; Matthew D Lieberman; Mirella Dapretto; Jennifer H Pfeifer
Journal:  Dev Cogn Neurosci       Date:  2022-02-23       Impact factor: 6.464

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