A fast and accurate approximation of power-law adaptation for auditory computational models

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...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2024-12, Vol.156 (6), p.3954-3957
Main Authors: Guest, Daniel R., Carney, Laurel H.
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0001-4966
1520-8524
DOI:10.1121/10.0034457