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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
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.
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.
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