Single-neuronal predictions of others’ beliefs in humans
Nature, ISSN: 1476-4687, Vol: 591, Issue: 7851, Page: 610-614
2021
- 60Citations
- 397Captures
- 10Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations60
- Citation Indexes60
- CrossRef60
- 55
- Captures397
- Readers397
- 397
- Mentions10
- News Mentions6
- News6
- Blog Mentions2
- Blog2
- References2
- Wikipedia2
Most Recent News
Semantic encoding during language comprehension at single-cell resolution
Nature, Published online: 03 July 2024; doi:10.1038/s41586-024-07643-2 By tracking the activity of individual neurons using microarrays and Neuropixels probes, a study examines the representation of linguistic meaning, at the single-cell level, during natural speech processing in humans.
Article Description
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 own. Although a number of areas in the human brain have been linked to social reasoning and its disruption across a variety of psychosocial disorders, 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.
Bibliographic Details
Springer Science and Business Media LLC
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