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The neurocomputational architecture of explore-exploit decision making

View ORCID ProfileJeremy Hogeveen, Teagan S. Mullins, John Romero, Elizabeth Eversole, Kimberly Rogge-Obando, Andrew R. Mayer, Vincent D. Costa
doi: https://doi.org/10.1101/2021.06.21.449128
Jeremy Hogeveen
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
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  • For correspondence: jhogeveen@unm.edu costav@ohsu.edu
Teagan S. Mullins
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
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John Romero
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
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Elizabeth Eversole
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
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Kimberly Rogge-Obando
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
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Andrew R. Mayer
1Department of Psychology & Psychology Clinical Neuroscience Center, Albuquerque, NM, USA
2Department of Psychiatry & Behavioral Sciences, Albuquerque, NM, USA
3Department of Neurology, University of New Mexico, Albuquerque, NM, USA
4Mind Research Network/LBERI, Albuquerque, NM, USA
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Vincent D. Costa
5Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
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  • For correspondence: jhogeveen@unm.edu costav@ohsu.edu
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Summary

Humans and other animals often make the difficult decision to try new options (exploration) and forego immediate rewards (exploitation). Novelty-seeking is an adaptive solution to this explore-exploit dilemma, but our understanding of the neural computations supporting novelty-seeking in humans is limited. Here, we presented the same explore-exploit decision making task to monkeys and humans and found evidence that the computational basis for novelty-seeking is conserved across primate species. Critically, through computational model-based decomposition of event-related functional magnetic resonance imaging (fMRI) in humans, these findings reveal a previously unidentified cortico-subcortical architecture mediating explore-exploit behavior in humans.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding: The current human subjects work was supported by the National Institute of General Medical Sciences (NIGMS; P30GM122734), and the animal work was supported by the Intramural Research Program of the National Institute of Mental Health (NIMH; ZIA MH002929). JH’s effort while writing this manuscript was supported via NIGMS (P20GM109089).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 13, 2021.
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The neurocomputational architecture of explore-exploit decision making
Jeremy Hogeveen, Teagan S. Mullins, John Romero, Elizabeth Eversole, Kimberly Rogge-Obando, Andrew R. Mayer, Vincent D. Costa
bioRxiv 2021.06.21.449128; doi: https://doi.org/10.1101/2021.06.21.449128
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The neurocomputational architecture of explore-exploit decision making
Jeremy Hogeveen, Teagan S. Mullins, John Romero, Elizabeth Eversole, Kimberly Rogge-Obando, Andrew R. Mayer, Vincent D. Costa
bioRxiv 2021.06.21.449128; doi: https://doi.org/10.1101/2021.06.21.449128

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