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Related Experiment Video

Updated: Feb 17, 2026

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
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Incorporating softmax in psychophysical detection models for normal and electric hearing.

Savine S M Martens1, Jeroen J Briaire1, Johan H M Frijns1,2

  • 1Department of Otorhinolaryngology of Leiden University Medical Center, Leiden, , the Netherlands.

Methodsx
|February 16, 2026
PubMed
Summary

This study enhances auditory detection models by integrating a softmax function, improving psychometric curve slope control for better modeling of normal and electric hearing.

Keywords:
Cochlear implantsComputational auditory modelPsychometric curvePsychophysical testsSoftmax function

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Area of Science:

  • Auditory Neuroscience
  • Computational Auditory Modeling

Background:

  • Accurate modeling of psychophysical auditory detection is challenging.
  • Existing models struggle to precisely adjust psychometric curve slopes.

Purpose of the Study:

  • To enhance Hamacher's auditory detection model by integrating a softmax function.
  • To improve control over psychometric curve slopes in auditory models.

Main Methods:

  • Computational simulations were used for normal and electric hearing.
  • The enhanced model was applied to masker-probe and amplitude modulation detection tasks.

Main Results:

  • The enhanced model accurately predicted normal hearing performance.
  • The electric hearing model achieved lower psychometric curve asymptotes compared to the original model.

Conclusions:

  • The softmax function offers a flexible tool for auditory psychophysical data modeling.
  • This approach has potential for evaluating cochlear implant speech coding strategies.