ArticleFrontiers in computational neuroscience2015
Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 70 citations in OpenAlex.
- Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning.PLoS computational biology · 2024Article
- Brain-inspired biomimetic robot control: a review.Frontiers in neurorobotics · 2024Review
- A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics.PLoS computational biology · 2023Article
- Variations on the theme: focus on cerebellum and emotional processing.Frontiers in systems neuroscience · 2023Review
- Adaptive control of movement deceleration during saccades.PLoS computational biology · 2021Article
- Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum.Frontiers in cellular neuroscience · 2021Article
- Real-Time Simulation of a Cerebellar Scaffold Model on Graphics Processing Units.Frontiers in cellular neuroscience · 2021Article
- The Optogenetic Revolution in Cerebellar Investigations.International journal of molecular sciences · 2020Review
- Simulation of a Human-Scale Cerebellar Network Model on the K Computer.Frontiers in neuroinformatics · 2020Article
- A Biomimetic Control Method Increases the Adaptability of a Humanoid Robot Acting in a Dynamic Environment.Frontiers in neurorobotics · 2019Article
- Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks.Computational intelligence and neuroscience · 2019Article
- Long-Lasting Response Changes in Deep Cerebellar NucleiFrontiers in cellular neuroscience · 2019Article
- Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness.Frontiers in neuroinformatics · 2018Article
- Activation of the CREB/Frontiers in cellular neuroscience · 2017Article
- Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle.Journal of the Royal Society, Interface · 2016Article
- Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning.Cerebellum (London, England) · 2016Review
- Excitatory Cerebellar Nucleocortical Circuit Provides Internal Amplification during Associative Conditioning.Neuron · 2016Article
- Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.Frontiers in cellular neuroscience · 2016Review
- Real-World-Time Simulation of Memory Consolidation in a Large-Scale Cerebellar Model.Frontiers in neuroanatomy · 2016Article
- Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit.Frontiers in cellular neuroscience · 2015Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeling it and embedding it into sensorimotor tasks allows us to create functional links between plasticity mechanisms, neural circuits and behavioral learning. Moreover, if applied to real-time control of a neurorobot, the cerebellar model has to deal with a real noisy and changing environment, thus showing its robustness and effectiveness in learning. A biologically inspired cerebellar model with distributed plasticity, both at cortical and nuclear sites, has been used. Two cerebellum-mediated paradigms have been designed: an associative Pavlovian task and a vestibulo-ocular reflex, with multiple sessions of acquisition and extinction and with different stimuli and perturbation patterns. The cerebellar controller succeeded to generate conditioned responses and finely tuned eye movement compensation, thus reproducing human-like behaviors. Through a productive plasticity transfer from cortical to nuclear sites, the distributed cerebellar controller showed in both tasks the capability to optimize learning on multiple time-scales, to store motor memory and to effectively adapt to dynamic ranges of stimuli.
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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.