ReviewFrontiers in cellular neuroscience2016
Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.
Review in Frontiers in cellular neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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34 citing papers in PubMed.
- Human iPSC-Derived Spinal Cord Organoids - The First Electrophysiological Assessment of Neuronal Maturation.ACS chemical neuroscience · 2026Article
- Plasma membrane calcium ATPases and cerebellar pathology: what's the role in the ataxia?Biology direct · 2025Review
- Cell populations simulated in silico within SimulCell accurately reproduce the behaviour of experimental cell cultures.NPJ systems biology and applications · 2025Article
- Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.PLoS computational biology · 2025Article
- Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning.PLoS computational biology · 2024Article
- Variations on the theme: focus on cerebellum and emotional processing.Frontiers in systems neuroscience · 2023Review
- 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
- A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits.Scientific reports · 2022Article
- The brainstem connectome database.Scientific data · 2022Article
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Translational neuronal ensembles: Neuronal microcircuits in psychology, physiology, pharmacology and pathology.Frontiers in systems neuroscience · 2022Review
- A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction.Frontiers in neuroscience · 2022Article
- Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System.Frontiers in neurorobotics · 2022Article
- Article
- In Search of Molecular Markers for Cerebellar Neurons.International journal of molecular sciences · 2021Review
- MIIND : A Model-Agnostic Simulator of Neural Populations.Frontiers in neuroinformatics · 2021Article
- HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.PLoS computational biology · 2021Article
- Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer.Frontiers in computational neuroscience · 2021Article
- Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum.Frontiers in cellular neuroscience · 2021Article
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Authors and funding
12 authors.
Funding
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Abstract
The cerebellar microcircuit has been the work bench for theoretical and computational modeling since the beginning of neuroscientific research. The regular neural architecture of the cerebellum inspired different solutions to the long-standing issue of how its circuitry could control motor learning and coordination. Originally, the cerebellar network was modeled using a statistical-topological approach that was later extended by considering the geometrical organization of local microcircuits. However, with the advancement in anatomical and physiological investigations, new discoveries have revealed an unexpected richness of connections, neuronal dynamics and plasticity, calling for a change in modeling strategies, so as to include the multitude of elementary aspects of the network into an integrated and easily updatable computational framework. Recently, biophysically accurate "realistic" models using a bottom-up strategy accounted for both detailed connectivity and neuronal non-linear membrane dynamics. In this perspective review, we will consider the state of the art and discuss how these initial efforts could be further improved. Moreover, we will consider how embodied neurorobotic models including spiking cerebellar networks could help explaining the role and interplay of distributed forms of plasticity. We envisage that realistic modeling, combined with closed-loop simulations, will help to capture the essence of cerebellar computations and could eventually be applied to neurological diseases and neurorobotic control systems.
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