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A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning

Charpentier, Caroline J. and Iigaya, Kiyohito and O'Doherty, John P. (2020) A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning. Neuron, 106 (4). pp. 687-699. ISSN 0896-6273. https://resolver.caltech.edu/CaltechAUTHORS:20200317-130759911

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Abstract

When individuals learn from observing the behavior of others, they deploy at least two distinct strategies. Choice imitation involves repeating other agents’ previous actions, whereas emulation proceeds from inferring their goals and intentions. Despite the prevalence of observational learning in humans and other social animals, a fundamental question remains unaddressed: how does the brain decide which strategy to use in a given situation? In two fMRI studies (the second a pre-registered replication of the first), we identify a neuro-computational mechanism underlying arbitration between choice imitation and goal emulation. Computational modeling, combined with a behavioral task that dissociated the two strategies, revealed that control over behavior was adaptively and dynamically weighted toward the most reliable strategy. Emulation reliability, the model’s arbitration signal, was represented in the ventrolateral prefrontal cortex, temporoparietal junction, and rostral cingulate cortex. Our replicated findings illuminate the computations by which the brain decides to imitate or emulate others.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.neuron.2020.02.028DOIArticle
http://www.ncbi.nlm.nih.gov/pmc/articles/pmc7244377/UNSPECIFIEDUNSPECIFIED
ORCID:
AuthorORCID
Charpentier, Caroline J.0000-0002-7283-0738
Iigaya, Kiyohito0000-0002-4748-8432
O'Doherty, John P.0000-0003-0016-3531
Additional Information:© 2020 Elsevier Inc. Received 19 November 2019, Revised 18 January 2020, Accepted 25 February 2020, Available online 17 March 2020. This work was funded by the Caltech Conte Center for the Neurobiology of Social Decision-Making. K.I. is supported by the Japan Society for the Promotion of Science and the Swartz Foundation. Author Contributions: C.J.C. and J.P.O. were responsible for conceptualization and methodology. C.J.C. carried out the investigations. C.J.C. and K.I. performed the analyses. C.J.C. and J.P.O. wrote the original manuscript draft. C.J.C., K.I., and J.P.O. reviewed and edited the manuscript. J.P.O. supervised the study and acquired funding. The authors declare no competing interests.
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
Caltech Conte Center for the Neurobiology of Social Decision MakingUNSPECIFIED
Japan Society for the Promotion of Science (JSPS)UNSPECIFIED
Swartz FoundationUNSPECIFIED
Subject Keywords:observational learning; decision-making; arbitration; social neuroscience; computational model; imitation; emulation; fMRI; replication
Issue or Number:4
Record Number:CaltechAUTHORS:20200317-130759911
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200317-130759911
Official Citation:Caroline J. Charpentier, Kiyohito Iigaya, John P. O’Doherty, A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning, Neuron, Volume 106, Issue 4, 2020, Pages 687-699.e7, ISSN 0896-6273, https://doi.org/10.1016/j.neuron.2020.02.028. (http://www.sciencedirect.com/science/article/pii/S0896627320301513)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101943
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:17 Mar 2020 20:49
Last Modified:28 May 2020 19:50

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