Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex

Research article (NeuroImage, 2022) · cited 13× · AI/ML
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Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex

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Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-networks-effectively-model-neural-adaptation-to-changing-background-noise-and-suggest-nonlinear-noise-filter
MLA “Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-networks-effectively-model-neural-adaptation-to-changing-background-noise-and-suggest-nonlinear-noise-filter.
BibTeX @misc{4ortxyz_deep-neural-networks-effectively-model-neural-adaptation-to-changing-background-noise-and-suggest-nonlinear-noise-filter_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-networks-effectively-model-neural-adaptation-to-changing-background-noise-and-suggest-nonlinear-noise-filter}, note = {Accessed: 2026-05-24}}
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