ArticleProceedings of the National Academy of Sciences of the United States of America2019
Differentially synchronized spiking enables multiplexed neural coding.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Synchrony within Aβ mechanoreceptor subtypes governs signal propagation to primary somatosensory cortex.The Journal of physiology · 2026Article
- Timing and Convergence of Ensemble Activity Govern Auditory Thalamocortical Transmission.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Spatial coding of conspecifics in the electrosensory system: Early segregation of information streams.PloS one · 2026Article
- Out of the single-neuron straitjacket: Neurons within assemblies change selectivity and their reconfiguration underlies dynamic coding.The Journal of physiology · 2025Article
- Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025Article
- Encoding of Vibrotactile Stimuli by Mechanoreceptors in Rodent Glabrous Skin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Disentangling Temporal and Rate Codes in the Primate Somatosensory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Clinico-physiological correlates of Parkinson's disease from multi-resolution basal ganglia recordings.NPJ Parkinson's disease · 2024Article
- Basic Properties of Coordinated Neuronal Ensembles in the Auditory Thalamus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Robust and consistent measures of pattern separation based on information theory and demonstrated in the dentate gyrus.PLoS computational biology · 2024Article
- Multiplexing intensity and frequency sensations for artificial touch by modulating temporal features of electrical pulse trains.Frontiers in neuroscience · 2024Article
- Inter-areal transmission of multiple neural signals through frequency-division-multiplexing communication.Cognitive neurodynamics · 2023Article
- Synchrony-Division Neural Multiplexing: An Encoding Model.Entropy (Basel, Switzerland) · 2023Article
- Global and local neuronal coding of tactile information in the barrel cortex.Frontiers in neuroscience · 2023Article
- Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network.Frontiers in computational neuroscience · 2023Review
- Article
- Physiological noise facilitates multiplexed coding of vibrotactile-like signals in somatosensory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Single-neuron bursts encode pathological oscillations in subcortical nuclei of patients with Parkinson's disease and essential tremor.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Synchronous spiking of cerebellar Purkinje cells during control of movements.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Are Grid-Like Representations a Component of All Perception and Cognition?Frontiers in neural circuits · 2022Article
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4 authors.
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Abstract
Multiplexing refers to the simultaneous encoding of two or more signals. Neurons have been shown to multiplex, but different stimuli require different multiplexing strategies. Whereas the frequency and amplitude of periodic stimuli can be encoded by the timing and rate of the same spikes, natural scenes, which comprise areas over which intensity varies gradually and sparse edges where intensity changes abruptly, require a different multiplexing strategy. Recording in vivo from neurons in primary somatosensory cortex during tactile stimulation, we found that stimulus onset and offset (edges) evoked highly synchronized spiking, whereas other spikes in the same neurons occurred asynchronously. Stimulus intensity modulated the rate of asynchronous spiking, but did not affect the timing of synchronous spikes. From this, we hypothesized that spikes driven by high- and low-contrast stimulus features can be distinguished on the basis of their synchronization, and that differentially synchronized spiking can thus be used to form multiplexed representations. Applying a Bayesian decoding method, we verified that information about high- and low-contrast features can be recovered from an ensemble of model neurons receiving common input. Equally good decoding was achieved by distinguishing synchronous from asynchronous spikes and applying reverse correlation methods separately to each spike type. This result, which we verified with patch clamp recordings in vitro, demonstrates that neurons receiving common input can use the rate of asynchronous spiking to encode the intensity of low-contrast features while using the timing of synchronous spikes to encode the occurrence of high-contrast features. We refer to this strategy as synchrony-division multiplexing.
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