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Neural dynamics of variable-rate speech categorization

S Grossberg1, I Boardman, M Cohen

  • 1Department of Cognitive and Neural Systems, Boston University, Massachusetts 02215, USA. steve@cns.bu.edu

Journal of Experimental Psychology. Human Perception and Performance
|April 1, 1997
PubMed
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A neural model explains how the brain processes speech sounds over time. It shows that perceiving related speech sounds requires more time, creating a resonant wave for conscious perception.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Speech Processing

Background:

  • Understanding the neural basis of speech perception is crucial.
  • The temporal dynamics of phonetic processing remain incompletely understood.
  • Existing models often lack mechanisms for integrating short-term memory with categorization.

Purpose of the Study:

  • To propose a neural model for the temporal evolution of speech codes.
  • To investigate the neural mechanisms underlying phonetic segregation and integration.
  • To explain rate-dependent variations in speech perception.

Main Methods:

  • A neural network model simulating phonetic perception was developed.
  • The model incorporates working memory for phonetic item storage and a categorization network.

Related Experiment Videos

  • Simulations analyzed closure time variations in VC-CV and VC1-C2V phonetic pairs.

    • Main Results:

    • The model accurately predicts that phonetically related stops (VC-CV) require longer closure times than different stops (VC1-C2V).
    • Simulated closure time demonstrated dependence on long-term stimulus rate.
    • The model generated rate-dependent category boundaries through feedback interactions.

    Conclusions:

    • The conscious speech code is conceptualized as a resonant wave.
    • Working memory and categorization network interactions shape phonetic perception.
    • Mismatch and repetition dynamics explain temporal variations in speech processing.