ArticleScientific reports2021
Information diversity in individual auditory cortical neurons is associated with functionally distinct coordinated neuronal ensembles.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Organization, neuronal composition, and dynamics of neuronal ensembles in the songbird auditory forebrain.iScience · 2026Article
- Timing and Convergence of Ensemble Activity Govern Auditory Thalamocortical Transmission.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Aging in the Primary Auditory Cortex.Journal of the Association for Research in Otolaryngology : JARO · 2026Review
- Neural Response Reliability as a Marker of the Transition of Neural Codes along Auditory Pathways.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Functional diversities within neurons and astrocytes in the adult rat auditory cortex revealed by single-nucleus RNA sequencing.Scientific reports · 2024Article
- Receptive-field nonlinearities in primary auditory cortex: a comparative perspective.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Basic Properties of Coordinated Neuronal Ensembles in the Auditory Thalamus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Fractured columnar small-world functional network organization in volumes of L2/3 of mouse auditory cortex.PNAS nexus · 2024Article
- Functional network properties of the auditory cortex.Hearing research · 2023Review
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Authors and funding
5 authors.
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Abstract
Neuronal activity in auditory cortex is often highly synchronous between neighboring neurons. Such coordinated activity is thought to be crucial for information processing. We determined the functional properties of coordinated neuronal ensembles (cNEs) within primary auditory cortical (AI) columns relative to the contributing neurons. Nearly half of AI cNEs showed robust spectro-temporal receptive fields whereas the remaining cNEs showed little or no acoustic feature selectivity. cNEs can therefore capture either specific, time-locked information of spectro-temporal stimulus features or reflect stimulus-unspecific, less-time specific processing aspects. By contrast, we show that individual neurons can represent both of those aspects through membership in multiple cNEs with either high or absent feature selectivity. These associations produce functionally heterogeneous spikes identifiable by instantaneous association with different cNEs. This demonstrates that single neuron spike trains can sequentially convey multiple aspects that contribute to cortical processing, including stimulus-specific and unspecific information.
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