ReviewNature reviews. Neuroscience2025
Cerebellar circuit computations for predictive motor control.
Review in Nature reviews. Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional brain alterations associated with acupuncture for chronic pain: a scoping review of fMRI studies.Frontiers in neuroscience · 2026Pooled it
- Motor learning with force feedback instruments among laparoscopic surgeons and residents.Journal of robotic surgery · 2026Article
- Cerebellar neural populations orchestrate dopamine reward signaling with single-trial precision.Nature communications · 2026Article
- Neuroplasticity in Spinal Circuits Mediated by Sexual Experience and Cerebellar Lobules.NeuroSci · 2026Article
- Modeling human synchronization to rhythmic patterns with varying statistical regularities.Acta psychologica · 2026Article
- Cerebellar contributions to action and cognition: Prediction, timescale, and continuity.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Functional Motor Assessment and Rehabilitation in Joubert Syndrome: A Narrative Review and Conceptual Framework for Pediatric Neurorehabilitation.Children (Basel, Switzerland) · 2026Review
- Aberrant functional connectivity and Granger causality analysis in patients with β-thalassemia major.Annals of hematology · 2026Article
- Motor-related reorganization in left inferior frontal gyrus after subcortical stroke: neurochemical basis and response to targeted neuromodulation.BMC medicine · 2026Article
- Multidimensional Functional Phenotyping in Children with Joubert Syndrome: A Pilot Case Series.Brain sciences · 2026Article
- Consensus Paper: Models of Cerebellar Functions.Cerebellum (London, England) · 2026Review
- Neuroimmune mechanisms of the cerebellum-brainstem network in autoimmune encephalitis and related neuroimmune disorders: antibody targets, selective vulnerability, and translational opportunities.Frontiers in immunology · 2026Review
- Commentary on the Flocculonodular Lobe as a Cerebellar Resilience Zone: Could Exercise Really be the Best Medicine?Cerebellum (London, England) · 2025Article
- Stage-dependent cerebrocerebellar communication during sensorimotor processing.Nature communications · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The rise of the deep neural network as the workhorse of artificial intelligence has brought increased attention to how network architectures serve specialized functions. The cerebellum, with its largely shallow, feedforward architecture, provides a curious example of such a specialized network. Within the cerebellum, tiny supernumerary granule cells project to a monolayer of giant Purkinje neurons that reweight synaptic inputs under the instructive influence of a unitary synaptic input from climbing fibres. What might this predominantly feedforward organization confer computationally? Here we review evidence for and against the hypothesis that the cerebellum learns basic associative feedforward control policies to speed up motor control and learning. We contrast and link this feedforward control framework with another prominent set of theories proposing that the cerebellum computes internal models. Ultimately, we suggest that the cerebellum may implement control through mechanisms that resemble internal models but involve model-free implicit mappings of high-dimensional sensorimotor contexts to motor output.
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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.