ArticleFrontiers in cellular neuroscience2017
Synaptic Activation of a Detailed Purkinje Cell Model Predicts Voltage-Dependent Control of Burst-Pause Responses in Active Dendrites.
Article in Frontiers in cellular neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Cerebellar Micro Complex Model Using Histologic Boolean Mapping Simulates Adaptive Motor Control.Neuroinformatics · 2025Article
- Branch-specific clustered parallel fiber input controls dendritic computation in Purkinje cells.iScience · 2024Article
- Viral-mediated inflammation by Poly I:C induces the chemokine CCL5 in NK cells and its receptors CCR1 and CCR5 in microglia in the neonatal rat cerebellum.NeuroImmune pharmacology and therapeutics · 2024Article
- 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
- A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics.PLoS computational biology · 2023Article
- 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
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Cerebellum Involvement in Dystonia During Associative Motor Learning: Insights From a Data-Driven Spiking Network Model.Frontiers in systems neuroscience · 2022Article
- Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum.Scientific reports · 2021Article
- Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.PLoS computational biology · 2021Article
- Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units.Frontiers in cellular neuroscience · 2021Article
- Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum.Frontiers in cellular neuroscience · 2021Article
- Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity.PLoS computational biology · 2020Article
- The Optogenetic Revolution in Cerebellar Investigations.International journal of molecular sciences · 2020Review
- Modification of Synaptic-Input Clustering by Intrinsic Excitability Plasticity on Cerebellar Purkinje Cell Dendrites.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Consensus paper: Decoding the Contributions of the Cerebellum as a Time Machine. From Neurons to Clinical Applications.Cerebellum (London, England) · 2019Article
- Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties.Frontiers in computational neuroscience · 2019Article
- Complex Electroresponsive Dynamics in Olivocerebellar Neurons Represented With Extended-Generalized Leaky Integrate and Fire Models.Frontiers in computational neuroscience · 2019Article
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2 authors.
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Abstract
The dendritic processing in cerebellar Purkinje cells (PCs), which integrate synaptic inputs coming from hundreds of thousands granule cells and molecular layer interneurons, is still unclear. Here we have tested a leading hypothesis maintaining that the significant PC output code is represented by burst-pause responses (BPRs), by simulating PC responses in a biophysically detailed model that allowed to systematically explore a broad range of input patterns. BPRs were generated by input bursts and were more prominent in Zebrin positive than Zebrin negative (Z+ and Z-) PCs. Different combinations of parallel fiber and molecular layer interneuron synapses explained type I, II and III responses observed
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