ArticlePLoS computational biology2023
The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Oscillatory dynamics of motor learning across adulthood life span: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Assessing Changes in Motor Function and Mobility in Individuals with Parkinson's Disease After 12 Sessions of Patient-Specific Adaptive Dynamic Cycling.Sensors (Basel, Switzerland) · 2024Trial
- Modeling the rhythmic complexity of professional drumming with an oscillation-driven reservoir computer.Cognitive neurodynamics · 2026Article
- Biochemical Pathways of Neuroplasticity in Sport Skill Acquisition: From Neuroscience to Coaching Practice.Brain sciences · 2026Review
- Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology.Communications biology · 2026Article
- Neuroprotective Effects ofArchives of Razi Institute · 2025Article
- Cerebellar and extra-cerebellar symptoms in movement disorders.Arquivos de neuro-psiquiatria · 2025Review
- Alternating hemiplegia of childhood associated mutations in Atp1a3 reveal diverse neurological alterations in mice.Neurobiology of disease · 2025Article
- Review
- Bimanual coordination and neuromuscular synchronization in Parkinson's disease and healthy adults.Experimental brain research · 2025Article
- Mechanistic insights into the P-coumaric acid protection against bisphenol A-induced hepatotoxicity in in vivo and in silico models.Scientific reports · 2025Article
- Personalized temporal interference stimulation targeting striatum reduces functional stability and dynamic connectivity variability in the sensorimotor network.Frontiers in neuroscience · 2025Article
- Functional Connectivity-Based Searchlight Multivariate Pattern Analysis for Discriminating Schizophrenia Patients and Predicting Clinical Variables.Schizophrenia bulletin · 2024Article
- A systematic review of observational practice for adaptation of reaching movements.NPJ science of learning · 2024Article
- Age-Related Dysfunction in Balance: A Comprehensive Review of Causes, Consequences, and Interventions.Aging and disease · 2024Review
- Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis.Frontiers in human neuroscience · 2024Article
- Brain-inspired biomimetic robot control: a review.Frontiers in neurorobotics · 2024Review
- Sleep improves accuracy, but not speed, of generalized motor learning in young and older adults and in individuals with Parkinson's disease.Frontiers in behavioral neuroscience · 2024Article
- Motor network dynamic resting state fMRI connectivity of neurotypical children in regions affected by cerebral palsy.Frontiers in human neuroscience · 2024Article
- Correction: The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach.PLoS computational biology · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motor learning involves a widespread brain network including the basal ganglia, cerebellum, motor cortex, and brainstem. Despite its importance, little is known about how this network learns motor tasks and which role different parts of this network take. We designed a systems-level computational model of motor learning, including a cortex-basal ganglia motor loop and the cerebellum that both determine the response of central pattern generators in the brainstem. First, we demonstrate its ability to learn arm movements toward different motor goals. Second, we test the model in a motor adaptation task with cognitive control, where the model replicates human data. We conclude that the cortex-basal ganglia loop learns via a novelty-based motor prediction error to determine concrete actions given a desired outcome, and that the cerebellum minimizes the remaining aiming error.
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Registered trials
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.