ArticlePLoS computational biology2017
Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Cerebellar tonic inhibition orchestrates the maturation of information processing and motor coordination.Experimental & molecular medicine · 2026Article
- Container-based framework for large-scale spiking network simulation.Frontiers in neuroscience · 2026Article
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- Homeostatic bidirectional plasticity in upbound and downbound micromodules in a model of the olivocerebellar loop.PLoS computational biology · 2025Article
- Investigating health literacy and sociodemographic factors in college students.Scientific reports · 2025Article
- Coincidence detection between apical and basal dendrites drives STDP in cerebellar Golgi cells.Communications biology · 2025Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda.Neuroinformatics · 2021Article
- Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition.PLoS computational biology · 2021Article
- Accounting for uncertainty: inhibition for neural inference in the cerebellum.Proceedings. Biological sciences · 2021Review
- Projection-dependent heterogeneity of cerebellar granule cell calcium responses.Molecular brain · 2021Article
- Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.PLoS computational biology · 2021Article
- Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity.PLoS computational biology · 2020Article
- Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage.Communications biology · 2020Article
- Article
- Cerebellar Cortex 4-12 Hz Oscillations and Unit Phase Relation in the Awake Rat.Frontiers in systems neuroscience · 2020Article
- Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model.Frontiers in neuroinformatics · 2020Article
- Simulation of a Human-Scale Cerebellar Network Model on the K Computer.Frontiers in neuroinformatics · 2020Article
- Correction: Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.PLoS computational biology · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The granular layer, which mainly consists of granule and Golgi cells, is the first stage of the cerebellar cortex and processes spatiotemporal information transmitted by mossy fiber inputs with a wide variety of firing patterns. To study its dynamics at multiple time scales in response to inputs approximating real spatiotemporal patterns, we constructed a large-scale 3D network model of the granular layer. Patterned mossy fiber activity induces rhythmic Golgi cell activity that is synchronized by shared parallel fiber input and by gap junctions. This leads to long distance synchrony of Golgi cells along the transverse axis, powerfully regulating granule cell firing by imposing inhibition during a specific time window. The essential network mechanisms, including tunable Golgi cell oscillations, on-beam inhibition and NMDA receptors causing first winner keeps winning of granule cells, illustrate how fundamental properties of the granule layer operate in tandem to produce (1) well timed and spatially bound output, (2) a wide dynamic range of granule cell firing and (3) transient and coherent gating oscillations. These results substantially enrich our understanding of granule cell layer processing, which seems to promote spatial group selection of granule cell activity as a function of timing of mossy fiber input.
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