ArticleThe Journal of the Acoustical Society of America2024
A fast and accurate approximation of power-law adaptation for auditory computational models.
Article in The Journal of the Acoustical Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A computational model of the mammalian auditory periphery with a closed-loop medial olivocochlear reflex simulating across-channel efferent gain control.The Journal of the Acoustical Society of America · 2026Article
- Forward masking in the inferior colliculus: Dynamics of discharge-rate recovery after narrowband noise maskers.The Journal of the Acoustical Society of America · 2025Article
- A computational model of auditory chirp-velocity sensitivity and amplitude-modulation tuning in inferior colliculus neurons.Journal of computational neuroscience · 2024Article
- A Computational Model of Auditory Chirp-Velocity Sensitivity and Amplitude-Modulation Tuning in Inferior Colliculus Neurons.Research square · 2024Article
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Authors and funding
2 authors.
Funding
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.
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Registered trials
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