ArticleFrontiers in computational neuroscience2013
Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed.
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- Cerebellar contribution to multisensory integration: A computational modeling exploration.APL bioengineering · 2025Article
- Coincidence detection between apical and basal dendrites drives STDP in cerebellar Golgi cells.Communications biology · 2025Article
- Review
- Calcium-Dependent Regulation of Neuronal Excitability Is Rescued in Fragile X Syndrome by a Tat-Conjugated N-Terminal Fragment of FMRP.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Opposing actions of CRF-R1 and CB1 receptor on facial stimulation-induced MLI-PC plasticity in mouse cerebellar cortex.BMC neuroscience · 2022Article
- Facial Stimulation Induces Long-Term Potentiation of Mossy Fiber-Granule Cell Synaptic TransmissionFrontiers in cellular neuroscience · 2022Article
- Calcium Channel-Dependent Induction of Long-Term Synaptic Plasticity at Excitatory Golgi Cell Synapses of Cerebellum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- FMRP(1-297)-tat restores ion channel and synaptic function in a model of Fragile X syndrome.Nature communications · 2020Article
- Article
- Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell.Frontiers in cellular neuroscience · 2020Article
- Role of cerebellar GABAergic dysfunctions in the origins of essential tremor.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Through synapses to spatial memory maps via a topological model.Scientific reports · 2019Article
- Diverse Neuron Properties and Complex Network Dynamics in the Cerebellar Cortical Inhibitory Circuit.Frontiers in molecular neuroscience · 2019Article
- The Concept of Transmission Coefficient Among Different Cerebellar Layers: A Computational Tool for Analyzing Motor Learning.Frontiers in neural circuits · 2019Article
- Dynamical Mechanism of Hyperpolarization-Activated Non-specific Cation Current Induced Resonance and Spike-Timing Precision in a Neuronal Model.Frontiers in cellular neuroscience · 2018Article
- Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.Frontiers in neuroinformatics · 2017Article
- Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning.Cerebellum (London, England) · 2016Review
- Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model.Frontiers in computational neuroscience · 2016Article
- Control of cerebellar granule cell output by sensory-evoked Golgi cell inhibition.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
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3 authors.
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Abstract
The way long-term synaptic plasticity regulates neuronal spike patterns is not completely understood. This issue is especially relevant for the cerebellum, which is endowed with several forms of long-term synaptic plasticity and has been predicted to operate as a timing and a learning machine. Here we have used a computational model to simulate the impact of multiple distributed synaptic weights in the cerebellar granular-layer network. In response to mossy fiber (MF) bursts, synaptic weights at multiple connections played a crucial role to regulate spike number and positioning in granule cells. The weight at MF to granule cell synapses regulated the delay of the first spike and the weight at MF and parallel fiber to Golgi cell synapses regulated the duration of the time-window during which the first-spike could be emitted. Moreover, the weights of synapses controlling Golgi cell activation regulated the intensity of granule cell inhibition and therefore the number of spikes that could be emitted. First-spike timing was regulated with millisecond precision and the number of spikes ranged from zero to three. Interestingly, different combinations of synaptic weights optimized either first-spike timing precision or spike number, efficiently controlling transmission and filtering properties. These results predict that distributed synaptic plasticity regulates the emission of quasi-digital spike patterns on the millisecond time-scale and allows the cerebellar granular layer to flexibly control burst transmission along the MF pathway.
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