ArticleNature communications2023
Dynamics of cortical contrast adaptation predict perception of signals in noise.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic sensor adaptation based on efferent feedback for adaptive bio-inspired sound source localization.Frontiers in neuroscience · 2026Article
- Developmental overproduction of cortical superficial neurons impairs adult auditory cortical processing.Scientific reports · 2025Article
- Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment.bioRxiv : the preprint server for biology · 2025Article
- Cortical Zinc Signaling Is Necessary for Changes in Mouse Pupil Diameter That Are Evoked by Background Sounds with Different Contrasts.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Inferring neural dynamics of memory during naturalistic social communication.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Neurons throughout the sensory pathway adapt their responses depending on the statistical structure of the sensory environment. Contrast gain control is a form of adaptation in the auditory cortex, but it is unclear whether the dynamics of gain control reflect efficient adaptation, and whether they shape behavioral perception. Here, we trained mice to detect a target presented in background noise shortly after a change in the contrast of the background. The observed changes in cortical gain and behavioral detection followed the dynamics of a normative model of efficient contrast gain control; specifically, target detection and sensitivity improved slowly in low contrast, but degraded rapidly in high contrast. Auditory cortex was required for this task, and cortical responses were not only similarly affected by contrast but predicted variability in behavioral performance. Combined, our results demonstrate that dynamic gain adaptation supports efficient coding in auditory cortex and predicts the perception of sounds in noise.
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