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Inner speech as a forward model?

Gary M Oppenheim1

  • 1Center for Research in Language, University of California San Diego, La Jolla, CA 92093-0526, USA. goppenheim@crl.ucsd.edu

The Behavioral and Brain Sciences
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Summary
This summary is machine-generated.

Inner speech may involve forward production models, but requires direct neural activity from the brain's implementers. This research explores the role of forward models in inner speech generation.

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Area of Science:

  • Cognitive Neuroscience
  • Psycholinguistics
  • Computational Neuroscience

Background:

  • Inner speech, the experience of silent speech, is a complex cognitive phenomenon.
  • Pickering & Garrod proposed inner speech arises from forward production models.
  • Empirical evidence from recent decades needs examination in this context.

Purpose of the Study:

  • To evaluate the hypothesis of inner speech as a forward model.
  • To integrate empirical findings with theoretical models of inner speech.
  • To determine the necessary neural components for inner speech.

Main Methods:

  • Review of empirical literature on inner speech.
  • Analysis of forward production models in speech perception and production.
  • Theoretical integration of findings.

Main Results:

  • Forward models likely contribute to the generation of inner speech.
  • Inner speech generation is not solely explained by forward models.
  • Activity from neural implementers is essential for inner speech.

Conclusions:

  • Forward models offer a partial explanation for inner speech.
  • Inner speech necessitates direct neural implementation beyond predictive modeling.
  • Further research should explore the interplay between predictive models and neural activity.