ArticleProceedings of the National Academy of Sciences of the United States of America2020
Distinct neural ensemble response statistics are associated with recognition and discrimination of natural sound textures.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- 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
- Modulation statistics allow robust prediction of speech recognition accuracy across many words, voices, and natural background 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
- 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
- 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
- Head-related transfer functions of rabbits within the front horizontal plane.Hearing research · 2024Article
- Distinguishing Fine Structure and Summary Representation of Sound Textures from Neural Activity.eNeuro · 2023Article
- Two stages of bandwidth scaling drives efficient neural coding of natural sounds.PLoS computational biology · 2023Article
- Corticofugal regulation of predictive coding.eLife · 2022Article
- Auditory and cross-modal attentional bias toward positive natural sounds: Behavioral and ERP evidence.Frontiers in human neuroscience · 2022Article
- Sensitivity of neural responses in the inferior colliculus to statistical features of sound textures.Hearing research · 2021Article
- Temporally precise population coding of dynamic sounds by auditory cortex.Journal of neurophysiology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
The perception of sound textures, a class of natural sounds defined by statistical sound structure such as fire, wind, and rain, has been proposed to arise through the integration of time-averaged summary statistics. Where and how the auditory system might encode these summary statistics to create internal representations of these stationary sounds, however, is unknown. Here, using natural textures and synthetic variants with reduced statistics, we show that summary statistics modulate the correlations between frequency organized neuron ensembles in the awake rabbit inferior colliculus (IC). These neural ensemble correlation statistics capture high-order sound structure and allow for accurate neural decoding in a single trial recognition task with evidence accumulation times approaching 1 s. In contrast, the average activity across the neural ensemble (neural spectrum) provides a fast (tens of milliseconds) and salient signal that contributes primarily to texture discrimination. Intriguingly, perceptual studies in human listeners reveal analogous trends: the sound spectrum is integrated quickly and serves as a salient discrimination cue while high-order sound statistics are integrated slowly and contribute substantially more toward recognition. The findings suggest statistical sound cues such as the sound spectrum and correlation structure are represented by distinct response statistics in auditory midbrain ensembles, and that these neural response statistics may have dissociable roles and time scales for the recognition and discrimination of natural sounds.
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