ReviewTrends in neurosciences2019
Efficient Neural Coding in Auditory and Speech Perception.
Review in Trends in neurosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Phase-Specific Contributions and Interactions of the Left and Right Posterior Middle Temporal Gyri in Vocal Feedback Control: Evidence From Dual-Site TMS.Human brain mapping · 2025Article
- Speech prosody enhances the neural processing of syntax.Communications biology · 2024Article
- A genome-wide association study reveals a polygenic architecture of speech-in-noise deficits in individuals with self-reported normal hearing.Scientific reports · 2024Article
- Spectro-temporal acoustical markers differentiate speech from song across cultures.Nature communications · 2024Article
- Article
- Motor "laziness" constrains fixation selection in real-world tasks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Simultaneous, cortex-wide and cellular-resolution neuronal population dynamics reveal an unbounded scaling of dimensionality with neuron number.bioRxiv : the preprint server for biology · 2024Article
- Quantifying the distribution of feature values over data represented in arbitrary dimensional spaces.PLoS computational biology · 2024Article
- Early maturation of sound duration processing in the infant's brain.Scientific reports · 2023Article
- Sound category habituation requires task-relevant attention.Frontiers in neuroscience · 2023Article
- Article
- Hemispheric asymmetries for music and speech: Spectrotemporal modulations and top-down influences.Frontiers in neuroscience · 2022Review
- Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies.Frontiers in computational neuroscience · 2022Article
- Frontotemporal activation differs between perception of simulated cochlear implant speech and speech in background noise: An image-based fNIRS study.NeuroImage · 2021Article
- Contributions of natural signal statistics to spectral context effects in consonant categorization.Attention, perception & psychophysics · 2021Article
- Pseudosparse neural coding in the visual system of primates.Communications biology · 2021Article
- Emerging native-similar neural representations underlie non-native speech category learning success.Neurobiology of language (Cambridge, Mass.) · 2021Article
- Amplitude modulation encoding in the auditory cortex: comparisons between the primary and middle lateral belt regions.Journal of neurophysiology · 2020Article
- Response Advantage for the Identification of Speech Sounds.Frontiers in psychology · 2020Article
- Birds of a different feather sing together.Nature neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Speech has long been recognized as 'special'. Here, we suggest that one of the reasons for speech being special is that our auditory system has evolved to encode it in an efficient, optimal way. The theory of efficient neural coding argues that our perceptual systems have evolved to encode environmental stimuli in the most efficient way. Mathematically, this can be achieved if the optimally efficient codes match the statistics of the signals they represent. Experimental evidence suggests that the auditory code is optimal in this mathematical sense: statistical properties of speech closely match response properties of the cochlea, the auditory nerve, and the auditory cortex. Even more interestingly, these results may be linked to phenomena in auditory and speech perception.
Indexed as
Identifiers
What OpenQuestion holds
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.