ArticleCommunications biology2020
Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 96 citations in OpenAlex.
- Structured sampling of molecularly classified mossy fiber inputs by cerebellar granule cells.Frontiers in computational neuroscience · 2026Article
- Cerebellar basket cell filtering of Purkinje cell responses elicited by low frequency parallel fibre transmission.Scientific reports · 2025Article
- Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.bioRxiv : the preprint server for biology · 2025Article
- Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework.PLoS computational biology · 2024Article
- Two Signaling Modes Are Better than One: Flux-Independent Signaling by Ionotropic Glutamate Receptors Is Coming of Age.Biomedicines · 2024Review
- Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning.PLoS computational biology · 2024Article
- Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity.Communications biology · 2024Article
- Increased understanding of complex neuronal circuits in the cerebellar cortex.Frontiers in cellular neuroscience · 2024Review
- A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics.PLoS computational biology · 2023Article
- Article
- Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit.Communications biology · 2022Article
- Endoplasmic Reticulum in Metaplasticity: From Information Processing to Synaptic Proteostasis.Molecular neurobiology · 2022Review
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity.Frontiers in neuroinformatics · 2022Article
- Pharmacological Modulation and (Patho)Physiological Roles of TRPM4 Channel-Part 2: TRPM4 in Health and Disease.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Transcranial direct current stimulation of cerebellum alters spiking precision in cerebellar cortex: A modeling study of cellular responses.PLoS computational biology · 2021Article
- Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda.Neuroinformatics · 2021Article
- Projection-dependent heterogeneity of cerebellar granule cell calcium responses.Molecular brain · 2021Article
- Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum.Scientific reports · 2021Article
- Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units.Frontiers in cellular neuroscience · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cerebellar granule cells (GrCs) are classically described as a homogeneous neuronal population discharging regularly without adaptation. We show that GrCs in fact generate diverse response patterns to current injection and synaptic activation, ranging from adaptation to acceleration of firing. Adaptation was predicted by parameter optimization in detailed computational models based on available knowledge on GrC ionic channels. The models also predicted that acceleration required additional mechanisms. We found that yet unrecognized TRPM4 currents specifically accounted for firing acceleration and that adapting GrCs outperformed accelerating GrCs in transmitting high-frequency mossy fiber (MF) bursts over a background discharge. This implied that GrC subtypes identified by their electroresponsiveness corresponded to specific neurotransmitter release probability values. Simulations showed that fine-tuning of pre- and post-synaptic parameters generated effective MF-GrC transmission channels, which could enrich the processing of input spike patterns and enhance spatio-temporal recoding at the cerebellar input stage.
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