Journal article
A fast and accurate approximation of power-law adaptation for auditory computational models
The Journal of the Acoustical Society of America, Vol.156(6), pp.3954-3957
12/01/2024
DOI: 10.1121/10.0034457
PMID: 39660998
Abstract
Power-law adaptation is a form of neural adaptation that has been recently implemented in a popular model of the mammalian auditory nerve to explain responses to modulated sound and adaptation over long time scales. However, the high computational cost of power-law adaptation, especially for longer simulations, means it must be approximated to be practically usable. Here, a straightforward scheme to approximate power-law adaptation is presented, demonstrating that the approximation improves on an existing approximation provided in the literature. Code that implements the new approximation is provided.
Details
- Title: Subtitle
- A fast and accurate approximation of power-law adaptation for auditory computational models
- Creators
- Daniel R. Guest - University of RochesterLaurel H. Carney - University of Rochester
- Resource Type
- Journal article
- Publication Details
- The Journal of the Acoustical Society of America, Vol.156(6), pp.3954-3957
- DOI
- 10.1121/10.0034457
- PMID
- 39660998
- NLM abbreviation
- J Acoust Soc Am
- ISSN
- 0001-4966
- eISSN
- 1520-8524
- Publisher
- Acoustical Soc Amer Amer Inst Physics
- Number of pages
- 4
- Grant note
- National Institute on Deafness and Other Communication Disorders (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD) R01-DC010813; F32-DC022143 / National Institute on Deafness and Other Communication Disorders10.13039/100000055
- Language
- English
- Date published
- 12/01/2024
- Academic Unit
- Communication Sciences and Disorders
- Record Identifier
- 9985217135702771
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