ArticleNature communications2019
Invariance to background noise as a signature of non-primary auditory cortex.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Noise statistics drive background- and channel-specific interference in auditory midbrain representations of speech.bioRxiv : the preprint server for biology · 2026Article
- Rethinking hierarchy: the auditory system as an integrated cortical-subcortical network.Nature reviews. Neuroscience · 2026Review
- Noise-invariant representations of sound emerge along the canonical cortical hierarchy.PLoS biology · 2026Article
- Task-optimized models of sensory uncertainty reproduce human confidence judgments.bioRxiv : the preprint server for biology · 2025Article
- 101 Dalmatians: a multimodal naturalistic fMRI dataset in typical development and congenital sensory loss.Scientific data · 2025Article
- A deep learning framework for understanding cochlear implants.bioRxiv : the preprint server for biology · 2025Article
- Article
- Interference of Mid-level Speech and Noise Statistics Underlies Human Speech Recognition Sensitivity in Natural Environmental Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Reduced Neural Responses to Natural Foreground versus Background Sounds in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Auditory working memory mechanisms mediating the relationship between musicianship and auditory stream segregation.Frontiers in psychology · 2025Article
- Neural speech tracking in noise reflects the opposing influence of SNR on intelligibility and attentional effort.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM.Scientific reports · 2024Article
- Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing.Nature communications · 2024Article
- Noise schemas aid hearing in noise.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing.bioRxiv : the preprint server for biology · 2024Article
- Sensory and Perceptual Decisional Processes Underlying the Perception of Reverberant Auditory Environments.eNeuro · 2024Article
- Noises on-How the Brain Deals with Acoustic Noise.Biology · 2024Review
- Intracranial Mapping of Response Latencies and Task Effects for Spoken Syllable Processing in the Human Brain.bioRxiv : the preprint server for biology · 2024Article
- Original speech and its echo are segregated and separately processed in the human brain.PLoS biology · 2024Article
- Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.PLoS biology · 2023Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Despite well-established anatomical differences between primary and non-primary auditory cortex, the associated representational transformations have remained elusive. Here we show that primary and non-primary auditory cortex are differentiated by their invariance to real-world background noise. We measured fMRI responses to natural sounds presented in isolation and in real-world noise, quantifying invariance as the correlation between the two responses for individual voxels. Non-primary areas were substantially more noise-invariant than primary areas. This primary-nonprimary difference occurred both for speech and non-speech sounds and was unaffected by a concurrent demanding visual task, suggesting that the observed invariance is not specific to speech processing and is robust to inattention. The difference was most pronounced for real-world background noise-both primary and non-primary areas were relatively robust to simple types of synthetic noise. Our results suggest a general representational transformation between auditory cortical stages, illustrating a representational consequence of hierarchical organization in the auditory system.
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