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Related Experiment Videos

Characterizing the dynamics of auditory perception.

Mingzhou Ding1, Betty Tuller, J. A. Scott Kelso

  • 1Program in Complex Systems and Brain Sciences, Center for Complex Systems and Department of Mathematics, Florida Atlantic University, Boca Raton, Florida 33431Program in Complex Systems and Brain Sciences, Center for Complex Systems, Florida Atlantic University, Boca Raton, Florida 33431.

Chaos (Woodbury, N.Y.)
|March 1, 1995
PubMed
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The verbal transformation effect, where repeated sounds change perception, shows power-law dynamics in healthy individuals. This suggests potential diagnostic tools for speech and cognitive disorders.

Area of Science:

  • Cognitive psychology
  • Auditory perception
  • Speech science

Background:

  • Repeated auditory stimuli can lead to altered perceptions, known as the verbal transformation effect.
  • The frequency of these perceptual shifts is linked to speech disorders and cognitive aging.
  • Existing understanding lacks quantitative measures for the dynamics of this effect.

Purpose of the Study:

  • To propose and investigate quantitative measures for the verbal transformation effect.
  • To characterize the dynamics of perceptual switching in auditory processing.
  • To explore potential diagnostic applications of these measures for speech and cognitive impairments.

Main Methods:

  • Analysis of dwell time distributions in the verbal transformation effect.

Related Experiment Videos

  • Application of power-law analysis to perceptual switching data.
  • Examination of correlation properties of auditory transforms.

    • Main Results:

    • Dwell time distributions for normal subjects follow a power law with an exponent between 1 and 2.
    • This power-law relationship indicates no characteristic time scale in the perceptual process.
    • Analysis of transform correlations provides insights into the phenomenon's dynamics.

    Conclusions:

    • The study introduces quantitative measures to characterize the verbal transformation effect.
    • Findings suggest the verbal transformation effect's dynamics are scale-invariant.
    • Proposed complexity measures may serve as diagnostic tools for speech and cognitive disorders.