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Journal of Computational Neuroscience

, Volume 41, Issue 2, pp 143–155 | Cite as

Parallel linear dynamic models can mimic the McGurk effect in clinical populations

  • Nicholas Altieri
  • Cheng-Ta Yang
Article

Abstract

One of the most common examples of audiovisual speech integration is the McGurk effect. As an example, an auditory syllable /ba/ recorded over incongruent lip movements that produce “ga” typically causes listeners to hear “da”. This report hypothesizes reasons why certain clinical and listeners who are hard of hearing might be more susceptible to visual influence. Conversely, we also examine why other listeners appear less susceptible to the McGurk effect (i.e., they report hearing just the auditory stimulus without being influenced by the visual). Such explanations are accompanied by a mechanistic explanation of integration phenomena including visual inhibition of auditory information, or slower rate of accumulation of inputs. First, simulations of a linear dynamic parallel interactive model were instantiated using inhibition and facilitation to examine potential mechanisms underlying integration. In a second set of simulations, we systematically manipulated the inhibition parameter values to model data obtained from listeners with autism spectrum disorder. In summary, we argue that cross-modal inhibition parameter values explain individual variability in McGurk perceptibility. Nonetheless, different mechanisms should continue to be explored in an effort to better understand current data patterns in the audiovisual integration literature.

Keywords

Audiovisual integration Parallel interactive linear dynamic model McGurk effect 

Notes

Acknowledgments

The project described was supported by Grant No. (NIGMS) 5U54GM104944-03. Portions of this report, including the basic model set-up, appeared in the author’s Doctoral Dissertation and in Altieri (2016). Finally, we thank Ryan A. Stevenson for his data set.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Communication Sciences and DisordersIdaho State UniversityPocatelloUSA
  2. 2.Department of PsychologyNational Cheng Kung UniversityTainan CityTaiwan

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