ArticlePloS one2011
Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed, 75 citations in OpenAlex.
- Polarity-dependent modulation of sensory circuits by cerebellar tDCS: local and distant effects.Scientific reports · 2026Article
- Granule cells reorient cortical manifolds to separate contexts but preserve their geometry.bioRxiv : the preprint server for biology · 2026Article
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- Polarity-dependent modulation of sensory circuits by cerebellar tDCS: local and distant effects.bioRxiv : the preprint server for biology · 2025Article
- Anisotropy and Frequency Dependence of Signal Propagation in the Cerebellar Circuit Revealed by High-Density Multielectrode Array Recordings.Biomedicines · 2023Article
- Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit.Communications biology · 2022Article
- Article
- A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction.Frontiers in neuroscience · 2022Article
- Discovering Microcircuit Secrets With Multi-Spot Imaging and Electrophysiological Recordings: The Example of Cerebellar Network Dynamics.Frontiers in cellular neuroscience · 2022Review
- Facial Stimulation Induces Long-Term Potentiation of Mossy Fiber-Granule Cell Synaptic TransmissionFrontiers in cellular neuroscience · 2022Article
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum.Scientific reports · 2021Article
- Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage.Communications biology · 2020Article
- Curated Model Development Using NEUROiD: A Web-Based NEUROmotor Integration and Design Platform.Frontiers in neuroinformatics · 2019Article
- Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties.Frontiers in computational neuroscience · 2019Article
- Long-Lasting Response Changes in Deep Cerebellar NucleiFrontiers in cellular neuroscience · 2019Article
- Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network.Frontiers in neuroinformatics · 2019Article
- Cerebellar Learning Properties Are Modulated by the CRF Receptor.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Understanding Cerebellum Granular Layer Network Computations through Mathematical Reconstructions of Evoked Local Field Potentials.Annals of neurosciences · 2018Article
- Morphological Constraints on Cerebellar Granule Cell Combinatorial Diversity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Local field-potentials (LFPs) are generated by neuronal ensembles and contain information about the activity of single neurons. Here, the LFPs of the cerebellar granular layer and their changes during long-term synaptic plasticity (LTP and LTD) were recorded in response to punctate facial stimulation in the rat in vivo. The LFP comprised a trigeminal (T) and a cortical (C) wave. T and C, which derived from independent granule cell clusters, co-varied during LTP and LTD. To extract information about the underlying cellular activities, the LFP was reconstructed using a repetitive convolution (ReConv) of the extracellular potential generated by a detailed multicompartmental model of the granule cell. The mossy fiber input patterns were determined using a Blind Source Separation (BSS) algorithm. The major component of the LFP was generated by the granule cell spike Na(+) current, which caused a powerful sink in the axon initial segment with the source located in the soma and dendrites. Reproducing the LFP changes observed during LTP and LTD required modifications in both release probability and intrinsic excitability at the mossy fiber-granule cells relay. Synaptic plasticity and Golgi cell feed-forward inhibition proved critical for controlling the percentage of active granule cells, which was 11% in standard conditions but ranged from 3% during LTD to 21% during LTP and raised over 50% when inhibition was reduced. The emerging picture is that of independent (but neighboring) trigeminal and cortical channels, in which synaptic plasticity and feed-forward inhibition effectively regulate the number of discharging granule cells and emitted spikes generating "dense" activity clusters in the cerebellar granular layer.
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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.