Brain mechanisms underlying self-other distinction for bodily self-recognition

Accumulating evidence indicates that single neurons in the primate brain specifically encode sensorimotor experience about the self or others. Although the self-other distinction has been a major focus of social neuroscience research, little is known about the underlying mechanisms that enable the recognition of bodily self. Here, we review the literature demonstrating that pre-reflective bodily self-recognition can be achieved through the spatiotemporally contingent integration of visual, somatosensory, and motor signals arising from sensorimotor experience. We propose a self-other inference model as a neural computation for self-other distinction, in which the likelihood of being oneself is updated constantly based on Bayesian causal inference using appearance, contingency, and perspective cues. The results of simulation incorporating a state-space point-process model revealed that our self-other inference model successfully captures the latent state representation about the self-other distinction from synthetic neural activity. We hypothesize that the self-other inference model is implemented by distinct brain areas that process individual cues and their integrative hubs. This hypothesis is experimentally testable using cutting-edge technologies such as area-specific or pathway-selective silencing.

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Publication Details

Journal
Frontiers in Neural Circuits
Published
2026-03-04
DOI
https://doi.org/10.3389/fncir.2026.1781653
Primary Topic
Action Observation and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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article

Brain mechanisms underlying self-other distinction for bodily self-recognition

Masaki Isoda, Yuuki G. Oka
Frontiers in Neural Circuits
Action Observation and Synchronization
article

Brain mechanisms underlying self-other distinction for bodily self-recognition

Masaki Isoda, Yuuki G. Oka
article en

Abstract

Accumulating evidence indicates that single neurons in the primate brain specifically encode sensorimotor experience about the self or others. Although the self-other distinction has been a major focus of social neuroscience research, little is known about the underlying mechanisms that enable the recognition of bodily self. Here, we review the literature demonstrating that pre-reflective bodily self-recognition can be achieved through the spatiotemporally contingent integration of visual, somatosensory, and motor signals arising from sensorimotor experience. We propose a self-other inference model as a neural computation for self-other distinction, in which the likelihood of being oneself is updated constantly based on Bayesian causal inference using appearance, contingency, and perspective cues. The results of simulation incorporating a state-space point-process model revealed that our self-other inference model successfully captures the latent state representation about the self-other distinction from synthetic neural activity. We hypothesize that the self-other inference model is implemented by distinct brain areas that process individual cues and their integrative hubs. This hypothesis is experimentally testable using cutting-edge technologies such as area-specific or pathway-selective silencing.

Frontiers in Neural CircuitsVol. 20
National Institutes of Natural Sciences (JP), The Graduate University for Advanced Studies, SOKENDAI (JP), National Institute for Physiological Sciences (JP)
Japan Society for the Promotion of Science
Reduced inequalities
Openalex Percentile: Top 44%
Action Observation and Synchronization
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