ReviewNeuroscience2021
The Rules of Cerebellar Learning: Around the Ito Hypothesis.
Review in Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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Who cites it
19 citing papers in PubMed.
- Purkinje Cells in Crus I and II Encode the Visual Stimulus and the Impending Choice as Monkeys Learn a Reinforcement-Based Visuomotor Association Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Cerebellar neural populations orchestrate dopamine reward signaling with single-trial precision.Nature communications · 2026Article
- Biochemical Pathways of Neuroplasticity in Sport Skill Acquisition: From Neuroscience to Coaching Practice.Brain sciences · 2026Review
- Comparison of Signals from Cerebellar Purkinje Cells and Deep Nuclei during Temporal Prediction in Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Rapid switching of vestibulo-motor pathways through voluntary eyelid closure in primates.Communications biology · 2025Article
- Article
- Realistic mossy fiber input patterns to unipolar brush cells evoke a continuum of temporal responses comprised of components mediated by different glutamate receptors.bioRxiv : the preprint server for biology · 2024Article
- Synaptic weight dynamics underlying memory consolidation: Implications for learning rules, circuit organization, and circuit function.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Climbing fibers provide essential instructive signals for associative learning.Nature neuroscience · 2024Article
- Cerebellum Lecture: the Cerebellar Nuclei-Core of the Cerebellum.Cerebellum (London, England) · 2024Review
- Interactions between circuit architecture and plasticity in a closed-loop cerebellar system.eLife · 2024Article
- Internal models of self-motion: neural computations by the vestibular cerebellum.Trends in neurosciences · 2023Review
- Expression of a Form of Cerebellar Motor Memory Requires Learned Alterations to the Activity of Inhibitory Molecular Layer Interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- A disynaptic basal ganglia connection to the inferior olive: potential for basal ganglia influence on cerebellar learning.Frontiers in systems neuroscience · 2023Article
- Lasting alteration of spatial orientation induced by passive motion in rabbits and its possible relevance to mal de débarquement syndrome.Frontiers in neurology · 2023Article
- Article
- Motor learning without movement.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Neural signals regulating motor synchronization in the primate deep cerebellar nuclei.Nature communications · 2022Article
- Homologous organization of cerebellar pathways to sensory, motor, and associative forebrain.Cell reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
As a tribute to Masao Ito, we propose a model of cerebellar learning that incorporates and extends his original model. We suggest four principles that align well with conclusions from multiple cerebellar learning systems. (1) Climbing fiber inputs to the cerebellum drive early, fast, poorly-retained learning in the parallel fiber to Purkinje cell synapse. (2) Learned Purkinje cell outputs drive late, slow, well-retained learning in non-Purkinje cell inputs to neurons in the cerebellar nucleus, transferring learning from the cortex to the nucleus. (3) Recurrent feedback from Purkinje cells to the inferior olive, through interneurons in the cerebellar nucleus, limits the magnitude of fast, early learning in the cerebellar cortex. (4) Functionally different inputs are subjected to plasticity in the cerebellar cortex versus the cerebellar nucleus. A computational neural circuit model that is based on these principles mimics a large amount of neural and behavioral data obtained from the smooth pursuit eye movements of monkeys.
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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.