ArticleNature communications2023
Multidimensional cerebellar computations for flexible kinematic control of movements.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Behavioral correlates of Purkinje cell ensemble covariance.Nature communications · 2026Article
- A neural language for the cerebellum: control of behavior via competing populations of Purkinje cells.Journal of neurophysiology · 2026Review
- Cerebellar tonic inhibition orchestrates the maturation of information processing and motor coordination.Experimental & molecular medicine · 2026Article
- Coordination of spike timing among the neurons of the cerebellum.Research square · 2026Article
- Coordination of spike timing among the neurons of the cerebellum.bioRxiv : the preprint server for biology · 2025Article
- A neural manifold view of the brain.Nature neuroscience · 2025Review
- GlyT2-Positive Interneurons Regulate Timing and Variability of Information Transfer in a Cerebellar-Behavioral Loop.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Comparing the Representation of a Simple Visual Stimulus across the Cerebellar Network.eNeuro · 2024Article
- What Role Does the Cerebellum Have in a Fatigue Network?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- An emergent temporal basis set robustly supports cerebellar time-series learning.Journal of neurophysiology · 2023Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Both the environment and our body keep changing dynamically. Hence, ensuring movement precision requires adaptation to multiple demands occurring simultaneously. Here we show that the cerebellum performs the necessary multi-dimensional computations for the flexible control of different movement parameters depending on the prevailing context. This conclusion is based on the identification of a manifold-like activity in both mossy fibers (MFs, network input) and Purkinje cells (PCs, output), recorded from monkeys performing a saccade task. Unlike MFs, the PC manifolds developed selective representations of individual movement parameters. Error feedback-driven climbing fiber input modulated the PC manifolds to predict specific, error type-dependent changes in subsequent actions. Furthermore, a feed-forward network model that simulated MF-to-PC transformations revealed that amplification and restructuring of the lesser variability in the MF activity is a pivotal circuit mechanism. Therefore, the flexible control of movements by the cerebellum crucially depends on its capacity for multi-dimensional computations.
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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.