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A Method to Study Adaptation to Left-Right Reversed Audition
Published on: October 29, 2018
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Updated parameters and expanded simulation options for a model of the auditory periphery.
Muhammad S A Zilany1, Ian C Bruce2, Laurel H Carney3
1Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.
The Journal of the Acoustical Society of America
|January 21, 2014
Summary
This study refines a computational model of the auditory periphery in cats. Enhancements improve simulations of auditory nerve responses, particularly for higher characteristic frequencies.
Area of Science:
- Auditory Neuroscience
- Computational Auditory Neuroscience
- Bioacoustics
Background:
- A previous phenomenological model of the auditory periphery in cats was developed by Zilany et al. to simulate acoustic signal transformation into auditory nerve representations.
- The prior model exhibited specific response issues that necessitated further refinement.
Purpose of the Study:
- To address and correct limitations in the previous auditory periphery model.
- To enhance the simulation accuracy of auditory nerve responses, especially for higher characteristic frequencies.
- To incorporate a method for calculating discharge rate and variance considering absolute refractoriness.
Main Methods:
- Readjustment of synapse model parameters to better match physiological discharge rates at saturation for higher characteristic frequencies.
- Implementation of an analytical method to compute mean discharge rate and variance from synapse output, accounting for absolute refractoriness.
Main Results:
- Improved simulation of physiological discharge rates at saturation for higher characteristic frequencies.
- Correction of erroneous high-frequency fiber responses to low-frequency tones observed in the previous model.
- Successful integration of a method to compute discharge rate and variance, including absolute refractoriness effects.
Conclusions:
- The revised auditory periphery model provides a more accurate representation of auditory nerve activity.
- The modifications enhance the model's utility for studying auditory processing, particularly at higher characteristic frequencies.
- The inclusion of refractoriness effects improves the biophysical realism of the neural response simulation.
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