ArticlePLoS biology2019
A neural ensemble correlation code for sound category identification.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 32 citations in OpenAlex.
- Noise statistics drive background- and channel-specific interference in auditory midbrain representations of speech.bioRxiv : the preprint server for biology · 2026Article
- Modulation statistics allow robust prediction of speech recognition accuracy across many words, voices, and natural background sounds.bioRxiv : the preprint server for biology · 2026Article
- From sound to source: Human and model recognition of environmental sounds.bioRxiv : the preprint server for biology · 2026Article
- 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
- Article
- Noise schemas aid hearing in noise.Proceedings of the National Academy of Sciences of the United States of America · 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
- Two stages of bandwidth scaling drives efficient neural coding of natural sounds.PLoS computational biology · 2023Article
- Article
- Sensitivity of neural responses in the inferior colliculus to statistical features of sound textures.Hearing research · 2021Article
- An Emergent Population Code in Primary Auditory Cortex Supports Selective Attention to Spectral and Temporal Sound Features.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Temporally precise population coding of dynamic sounds by auditory cortex.Journal of neurophysiology · 2021Article
- Animal Models of Tinnitus Treatment: Cochlear and Brain Stimulation.Current topics in behavioral neurosciences · 2021Article
- Distinct neural ensemble response statistics are associated with recognition and discrimination of natural sound textures.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- A temporal integration mechanism enhances frequency selectivity of broadband inputs to inferior colliculus.PLoS biology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Humans and other animals effortlessly identify natural sounds and categorize them into behaviorally relevant categories. Yet, the acoustic features and neural transformations that enable sound recognition and the formation of perceptual categories are largely unknown. Here, using multichannel neural recordings in the auditory midbrain of unanesthetized female rabbits, we first demonstrate that neural ensemble activity in the auditory midbrain displays highly structured correlations that vary with distinct natural sound stimuli. These stimulus-driven correlations can be used to accurately identify individual sounds using single-response trials, even when the sounds do not differ in their spectral content. Combining neural recordings and an auditory model, we then show how correlations between frequency-organized auditory channels can contribute to discrimination of not just individual sounds but sound categories. For both the model and neural data, spectral and temporal correlations achieved similar categorization performance and appear to contribute equally. Moreover, both the neural and model classifiers achieve their best task performance when they accumulate evidence over a time frame of approximately 1-2 seconds, mirroring human perceptual trends. These results together suggest that time-frequency correlations in sounds may be reflected in the correlations between auditory midbrain ensembles and that these correlations may play an important role in the identification and categorization of natural sounds.
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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.