ArticleFrontiers in cellular neuroscience2010
A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.
Article in Frontiers in cellular neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
79 citing papers in PubMed.
- Defective cerebellar control of cortical plasticity in writer's cramp.Brain : a journal of neurology · 2013Trial
- Cerebellar Time and Relative Time: A Comparator-Based Dynamical Timing Model and its Relevance to Psychopathology and Therapies.Cerebellum (London, England) · 2026Review
- Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026Review
- Container-based framework for large-scale spiking network simulation.Frontiers in neuroscience · 2026Article
- Tremor pathophysiology.Clinical parkinsonism & related disorders · 2026Review
- 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
- Review
- Artificial cerebellum on FPGA: realistic real-time cerebellar spiking neural network model capable of real-world adaptive motor control.Frontiers in neuroscience · 2024Article
- Anisotropy and Frequency Dependence of Signal Propagation in the Cerebellar Circuit Revealed by High-Density Multielectrode Array Recordings.Biomedicines · 2023Article
- An emergent temporal basis set robustly supports cerebellar time-series learning.Journal of neurophysiology · 2023Article
- Long-Term Synaptic Plasticity Tunes the Gain of Information Channels through the Cerebellum Granular Layer.Biomedicines · 2022Article
- Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit.Communications biology · 2022Article
- Towards the Simulation of a Realistic Large-Scale Spiking Network on a Desktop Multi-GPU System.Bioengineering (Basel, Switzerland) · 2022Article
- Article
- Facial Stimulation Induces Long-Term Potentiation of Mossy Fiber-Granule Cell Synaptic TransmissionFrontiers in cellular neuroscience · 2022Article
- A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction.Frontiers in neuroscience · 2022Article
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Nicotine Facilitates Facial Stimulation-Evoked Mossy Fiber-Granule Cell Long-Term PotentiationFrontiers in cellular neuroscience · 2022Article
- Discovering Microcircuit Secrets With Multi-Spot Imaging and Electrophysiological Recordings: The Example of Cerebellar Network Dynamics.Frontiers in cellular neuroscience · 2022Review
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The way the cerebellar granular layer transforms incoming mossy fiber signals into new spike patterns to be related to Purkinje cells is not yet clear. Here, a realistic computational model of the granular layer was developed and used to address four main functional hypotheses: center-surround organization, time-windowing, high-pass filtering in responses to spike bursts and coherent oscillations in response to diffuse random activity. The model network was activated using patterns inspired by those recorded in vivo. Burst stimulation of a small mossy fiber bundle resulted in granule cell bursts delimited in time (time windowing) and space (center-surround) by network inhibition. This burst-burst transmission showed marked frequency-dependence configuring a high-pass filter with cut-off frequency around 100 Hz. The contrast between center and surround properties was regulated by the excitatory-inhibitory balance. The stronger excitation made the center more responsive to 10-50 Hz input frequencies and enhanced the granule cell output (with spikes occurring earlier and with higher frequency and number) compared to the surround. Finally, over a certain level of mossy fiber background activity, the circuit generated coherent oscillations in the theta-frequency band. All these processes were fine-tuned by NMDA and GABA-A receptor activation and neurotransmitter vesicle cycling in the cerebellar glomeruli. This model shows that available knowledge on cellular mechanisms is sufficient to unify the main functional hypotheses on the cerebellum granular layer and suggests that this network can behave as an adaptable spatio-temporal filter coordinated by theta-frequency oscillations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.