Sensorimotor experience and verb-category mapping in human sensory, motor and parietal neurons.

Cortex

Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, Pittsburgh, PA, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA; Barnes-Jewish Hospital, St. Louis, MO, USA. Electronic address:

Published: July 2017

AI Article Synopsis

  • Semantic grounding connects meaning to symbols, forming the basis for language.
  • Two mechanisms for verb meaning—sensorimotor mapping and verb-category mapping—were studied using neuronal activity from two human participants.
  • Findings show that different types of neurons in motor, somatosensory, and parietal areas play distinct roles in these mappings, suggesting a complex neural network for semantic processing.

Article Abstract

Semantic grounding is the process of relating meaning to symbols (e.g., words). It is the foundation for creating a representational symbolic system such as language. Semantic grounding for verb meaning is hypothesized to be achieved through two mechanisms: sensorimotor mapping, i.e., directly encoding the sensorimotor experiences the verb describes, and verb-category mapping, i.e., encoding the abstract category a verb belongs to. These two mechanisms were investigated by examining neuronal-level spike (i.e. neuronal action potential) activities from the motor, somatosensory and parietal areas in two human participants. Motor and a portion of somatosensory neurons were found to be involved in primarily sensorimotor mapping, while parietal and some somatosensory neurons were found to be involved in both sensorimotor and verb-category mapping. The time course of the spike activities and the selective tuning pattern of these neurons indicate that they belong to a large neural network used for semantic processing. This study is the first step towards understanding how words are processed by neurons.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543720PMC
http://dx.doi.org/10.1016/j.cortex.2017.04.021DOI Listing

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