ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Independent population coding of speech with sub-millisecond precision.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Inferring effective networks of spiking neurons using a continuous-time estimator of transfer entropy.PLoS computational biology · 2025Article
- Neural Correlates of Perceptual Plasticity in the Auditory Midbrain and Thalamus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Modelling neural coding in the auditory midbrain with high resolution and accuracy.Nature machine intelligence · 2025Article
- Neural correlates of flexible sound perception in the auditory midbrain and thalamus.bioRxiv : the preprint server for biology · 2024Article
- MnOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.eLife · 2023Article
- Hierarchical differences in the encoding of sound and choice in the subcortical auditory system.Journal of neurophysiology · 2023Article
- Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech.Nature biomedical engineering · 2022Article
- Early lock-in of structured and specialised information flows during neural development.eLife · 2022Article
- Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data.PLoS computational biology · 2021Article
- Extracellular voltage thresholds for maximizing information extraction in primate auditory cortex: implications for a brain computer interface.Journal of neural engineering · 2021Article
- Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise.Current biology : CB · 2020Article
- Stimulus-frequency-dependent dominance of sound localization cues across the cochleotopic map of the inferior colliculus.Journal of neurophysiology · 2020Article
- Reconfigurable nanophotonic silicon probes for sub-millisecond deep-brain optical stimulation.Nature biomedical engineering · 2020Article
- GABAJournal of neurophysiology · 2020Article
- Neural coding and perception of auditory motion direction based on interaural time differences.Journal of neurophysiology · 2019Article
- Cooperative population coding facilitates efficient sound-source separability by adaptation to input statistics.PLoS biology · 2019Article
- Changes in Neuronal Representations of Consonants in the Ascending Auditory System and Their Role in Speech Recognition.Frontiers in neuroscience · 2018Article
- Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates.PloS one · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
To understand the strategies used by the brain to analyze complex environments, we must first characterize how the features of sensory stimuli are encoded in the spiking of neuronal populations. Characterizing a population code requires identifying the temporal precision of spiking and the extent to which spiking is correlated, both between cells and over time. In this study, we characterize the population code for speech in the gerbil inferior colliculus (IC), the hub of the auditory system where inputs from parallel brainstem pathways are integrated for transmission to the cortex. We find that IC spike trains can carry information about speech with sub-millisecond precision, and, consequently, that the temporal correlations imposed by refractoriness can play a significant role in shaping spike patterns. We also find that, in contrast to most other brain areas, the noise correlations between IC cells are extremely weak, indicating that spiking in the population is conditionally independent. These results demonstrate that the problem of understanding the population coding of speech can be reduced to the problem of understanding the stimulus-driven spiking of individual cells, suggesting that a comprehensive model of the subcortical processing of speech may be attainable in the near future.
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