ArticleeNeuro
Speech Coding in the Brain: Representation of Vowel Formants by Midbrain Neurons Tuned to Sound Fluctuations
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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55 citing papers in PubMed, 107 citations in OpenAlex.
- Formant-frequency encoding in the inferior colliculus of awake rabbit: Physiological and model responses.Hearing research · 2026Article
- Lateralised neural mechanisms facilitate auditory self-other distinction and coordination in human dyads.PLoS biology · 2026Article
- Acoustic Scene-Aware Processing and Auditory Model-Based Compensation Strategies.Journal of the Association for Research in Otolaryngology : JARO · 2026Review
- Noise statistics drive background- and channel-specific interference in auditory midbrain representations of speech.bioRxiv : the preprint server for biology · 2026Article
- Timbre Encoding in the Inferior Colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Chirp sensitivity and vowel coding in the inferior colliculus.Hearing research · 2025Article
- Modelling neural coding in the auditory midbrain with high resolution and accuracy.Nature machine intelligence · 2025Article
- Comparing methods for deriving the auditory brainstem response to continuous speech in human listeners.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Profile analysis in listeners with normal and elevated audiometric thresholds: Behavioral and modeling results.The Journal of the Acoustical Society of America · 2024Article
- A computational model of auditory chirp-velocity sensitivity and amplitude-modulation tuning in inferior colliculus neurons.Journal of computational neuroscience · 2024Article
- Lineage-tracing reveals an expanded population of NPY neurons in the inferior colliculus.Journal of neurophysiology · 2024Article
- Characterizing the relationship between modulation sensitivity and pitch resolution in cochlear implant users.Hearing research · 2024Article
- A Computational Model of Auditory Chirp-Velocity Sensitivity and Amplitude-Modulation Tuning in Inferior Colliculus Neurons.Research square · 2024Article
- Population coding of time-varying sounds in the nonlemniscal inferior colliculus.Journal of neurophysiology · 2024Article
- Lineage-tracing reveals an expanded population of NPY neurons in the inferior colliculus.bioRxiv : the preprint server for biology · 2024Article
- Neural Fluctuation Contrast as a Code for Complex Sounds: The Role and Control of Peripheral Nonlinearities.Hearing research · 2024Review
- Subcortical auditory model including efferent dynamic gain control with inputs from cochlear nucleus and inferior colliculus.The Journal of the Acoustical Society of America · 2023Article
- Dissecting neural computations in the human auditory pathway using deep neural networks for speech.Nature neuroscience · 2023Article
- Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics.Cell reports · 2023Article
- Population coding of time-varying sounds in the non-lemniscal Inferior Colliculus.bioRxiv : the preprint server for biology · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Current models for neural coding of vowels are typically based on linear descriptions of the auditory periphery, and fail at high sound levels and in background noise. These models rely on either auditory nerve discharge rates or phase locking to temporal fine structure. However, both discharge rates and phase locking saturate at moderate to high sound levels, and phase locking is degraded in the CNS at middle to high frequencies. The fact that speech intelligibility is robust over a wide range of sound levels is problematic for codes that deteriorate as the sound level increases. Additionally, a successful neural code must function for speech in background noise at levels that are tolerated by listeners. The model presented here resolves these problems, and incorporates several key response properties of the nonlinear auditory periphery, including saturation, synchrony capture, and phase locking to both fine structure and envelope temporal features. The model also includes the properties of the auditory midbrain, where discharge rates are tuned to amplitude fluctuation rates. The nonlinear peripheral response features create contrasts in the amplitudes of low-frequency neural rate fluctuations across the population. These patterns of fluctuations result in a response profile in the midbrain that encodes vowel formants over a wide range of levels and in background noise. The hypothesized code is supported by electrophysiological recordings from the inferior colliculus of awake rabbits. This model provides information for understanding the structure of cross-linguistic vowel spaces, and suggests strategies for automatic formant detection and speech enhancement for listeners with hearing loss.
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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.