Single-neuronal predictions of others’ beliefs in humans

Mohsen Jamali, Benjamin L. Grannan, Evelina Fedorenko, Rebecca Saxe, Raymundo Báez-Mendoza and Ziv M. Williams ()
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Mohsen Jamali: Massachusetts General Hospital, Harvard Medical School
Benjamin L. Grannan: Massachusetts General Hospital, Harvard Medical School
Evelina Fedorenko: Massachusetts Institute of Technology
Rebecca Saxe: Massachusetts Institute of Technology
Raymundo Báez-Mendoza: Massachusetts General Hospital, Harvard Medical School
Ziv M. Williams: Massachusetts General Hospital, Harvard Medical School

Nature, 2021, vol. 591, issue 7851, 610-614

Abstract: Abstract Human social behaviour crucially depends on our ability to reason about others. This capacity for theory of mind has a vital role in social cognition because it enables us not only to form a detailed understanding of the hidden thoughts and beliefs of other individuals but also to understand that they may differ from our own1–3. Although a number of areas in the human brain have been linked to social reasoning4,5 and its disruption across a variety of psychosocial disorders6–8, the basic cellular mechanisms that underlie human theory of mind remain undefined. Here, using recordings from single cells in the human dorsomedial prefrontal cortex, we identify neurons that reliably encode information about others’ beliefs across richly varying scenarios and that distinguish self- from other-belief-related representations. By further following their encoding dynamics, we show how these cells represent the contents of the others’ beliefs and accurately predict whether they are true or false. We also show how they track inferred beliefs from another’s specific perspective and how their activities relate to behavioural performance. Together, these findings reveal a detailed cellular process in the human dorsomedial prefrontal cortex for representing another’s beliefs and identify candidate neurons that could support theory of mind.

Date: 2021
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DOI: 10.1038/s41586-021-03184-0

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