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Decoding the information structure underlying the neural representation of concepts. | LitMetric

AI Article Synopsis

  • * Researchers discovered that lexical semantic information can be decoded from various cortical regions, showing a preference for information based on personal experience rather than organized categories.
  • * Findings suggest that concept representations, especially for events, rely on experiential data and highlight that additional brain regions (beyond traditional semantic hubs) play a role in semantic processing.

Article Abstract

The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in the frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in the heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts and that other areas beyond the traditional "semantic hubs" contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832989PMC
http://dx.doi.org/10.1073/pnas.2108091119DOI Listing

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