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Cited by 681

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

The manifold nature of interpersonal relations: the quest for a common mechanism

Open access
Gallese, Vittorio·2003·Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
DOI 10.1098/rstb.2002.1234
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Abstract

It has been proposed that the capacity to code the ‘like me’ analogy between self and others constitutes a basic prerequisite and a starting point for social cognition. It is by means of this self/other equivalence that meaningful social bonds can be established, that we can recognize others as similar to us, and that imitation can take place. In this article I discuss recent neurophysiological and brain imaging data on monkeys and humans, showing that the ‘like me’ analogy may rest upon a series of ‘mirror–matching’ mechanisms. A new conceptual tool able to capture the richness of the experiences we share with others is introduced: the shared manifold of intersubjectivity. I propose that all kinds of interpersonal relations (imitation, empathy and the attribution of intentions) depend, at a basic level, on the constitution of a shared manifold space. This shared space is functionally characterized by automatic, unconscious embodied simulation routines.

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Metadata

Authors
Gallese, V.
Venue
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
Publisher
The Royal Society
Published
2003-02-14
Volume
358
Issue
1431
Pages
517-528
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
DOI
10.1098/rstb.2002.1234
OpenAlex
W2121531464
Cited by
681
References
17
FWCI
37.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The manifold nature of interpersonal relations: the quest for a common mechanism. https://app.cochat.ai/papers/10.1098/rstb.2002.1234
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Gallese, V. (2003). The manifold nature of interpersonal relations: the quest for a common mechanism. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rstb.2002.1234

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.