ArticleProceedings of the National Academy of Sciences of the United States of America2014
Mechanisms of noise robust representation of speech in primary auditory cortex.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
78 citing papers in PubMed, 1 synthesis or guideline pooled it, 150 citations in OpenAlex.
- Pooled it
- 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
- Review
- Perinatal physiology and welfare in water buffalo: calving, mother-calf bonding, lactation, and postpartum disorders.Frontiers in veterinary science · 2026Review
- Neural Response Reliability as a Marker of the Transition of Neural Codes along Auditory Pathways.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- 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
- Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields.PLoS computational biology · 2025Article
- The Future of Perceptual Dysregulation in Psychiatric Nosology.Current topics in behavioral neurosciences · 2025Review
- Neural speech tracking in noise reflects the opposing influence of SNR on intelligibility and attentional effort.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Noise schemas aid hearing in noise.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Temporal coherence shapes cortical responses to speech mixtures in a ferret cocktail party.Communications 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
- Article
- Temporal Coherence Shapes Cortical Responses to Speech Mixtures in a Ferret Cocktail Party.bioRxiv : the preprint server for biology · 2024Article
- Dissociable Roles of the Auditory Midbrain and Cortex in Processing the Statistical Features of Natural Sound Textures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Humans and animals can reliably perceive behaviorally relevant sounds in noisy and reverberant environments, yet the neural mechanisms behind this phenomenon are largely unknown. To understand how neural circuits represent degraded auditory stimuli with additive and reverberant distortions, we compared single-neuron responses in ferret primary auditory cortex to speech and vocalizations in four conditions: clean, additive white and pink (1/f) noise, and reverberation. Despite substantial distortion, responses of neurons to the vocalization signal remained stable, maintaining the same statistical distribution in all conditions. Stimulus spectrograms reconstructed from population responses to the distorted stimuli resembled more the original clean than the distorted signals. To explore mechanisms contributing to this robustness, we simulated neural responses using several spectrotemporal receptive field models that incorporated either a static nonlinearity or subtractive synaptic depression and multiplicative gain normalization. The static model failed to suppress the distortions. A dynamic model incorporating feed-forward synaptic depression could account for the reduction of additive noise, but only the combined model with feedback gain normalization was able to predict the effects across both additive and reverberant conditions. Thus, both mechanisms can contribute to the abilities of humans and animals to extract relevant sounds in diverse noisy environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.