ReviewBrain research2015
Cerebellar learning mechanisms.
Review in Brain research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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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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
46 citing papers in PubMed.
- Rat models of fetal alcohol spectrum disorders for studying the critical role of cerebellar damage: A scoping review.Alcohol, clinical & experimental research · 2025Article
- The effects of P2Y12 loss on microglial gene expression, dynamics, and injury response in the cerebellum and cerebral cortex.Brain, behavior, and immunity · 2025Article
- Modeling nitric oxide diffusion and plasticity modulation in cerebellar learning.APL bioengineering · 2025Article
- Emergent Aspects of the Integration of Sensory and Motor Functions.Brain sciences · 2025Review
- Experience-driven competition in neural reorganization after stroke.The Journal of physiology · 2025Review
- Three principles for the utility of simple tasks that assess elemental processes in parsing heterogeneity.Journal of psychopathology and clinical science · 2024Article
- Knockdown of the Non-canonical Wnt Gene Prickle2 Leads to Cerebellar Purkinje Cell Abnormalities While Cerebellar-Mediated Behaviors Remain Intact.Cerebellum (London, England) · 2024Article
- Mesoscale simulations predict the role of synergistic cerebellar plasticity during classical eyeblink conditioning.PLoS computational biology · 2024Article
- Discrimination training affects stimulus generalization in mice during Pavlovian eyeblink conditioning.Frontiers in behavioral neuroscience · 2024Article
- Synaptic Mechanisms of Delay Eyeblink Classical Conditioning: AMPAR Trafficking and Gene Regulation in an In Vitro Model.Molecular neurobiology · 2023Review
- Recent Advances in Immune-Mediated Cerebellar Ataxias: Pathogenesis, Diagnostic Approaches, Therapies, and Future Challenges-Editorial.Brain sciences · 2023Article
- Hypothermia increases cold-inducible protein expression and improves cerebellar-dependent learning after hypoxia ischemia in the neonatal rat.Pediatric research · 2023Article
- Weaker situations: Uncertainty reveals individual differences in learning: Implications for PTSD.Cognitive, affective & behavioral neuroscience · 2023Review
- Neurophysiology of cerebellar ataxias and gait disorders.Clinical neurophysiology practice · 2023Review
- Choline Improves Neonatal Hypoxia-Ischemia Induced Changes in Male but Not Female Rats.International journal of molecular sciences · 2022Article
- Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram.Frontiers in computational neuroscience · 2022Article
- Reward-Based Learning and Emotional Habit Formation in the Cerebellum.Advances in experimental medicine and biology · 2022Article
- Article
- Serine/Threonine Phosphatases in LTP: Two B or Not to Be the Protein Synthesis Blocker-Induced Impairment of Early Phase.International journal of molecular sciences · 2021Article
- Neuromodulation of the cerebellum rescues movement in a mouse model of ataxia.Nature communications · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
The mechanisms underlying cerebellar learning are reviewed with an emphasis on old arguments and new perspectives on eyeblink conditioning. Eyeblink conditioning has been used for decades a model system for elucidating cerebellar learning mechanisms. The standard model of the mechanisms underlying eyeblink conditioning is that there two synaptic plasticity processes within the cerebellum that are necessary for acquisition of the conditioned response: (1) long-term depression (LTD) at parallel fiber-Purkinje cell synapses and (2) long-term potentiation (LTP) at mossy fiber-interpositus nucleus synapses. Additional Purkinje cell plasticity mechanisms may also contribute to eyeblink conditioning including LTP, excitability, and entrainment of deep nucleus activity. Recent analyses of the sensory input pathways necessary for eyeblink conditioning indicate that the cerebellum regulates its inputs to facilitate learning and maintain plasticity. Cerebellar learning during eyeblink conditioning is therefore a dynamic interactive process which maximizes responding to significant stimuli and suppresses responding to irrelevant or redundant stimuli. This article is part of a Special Issue entitled SI: Brain and Memory.
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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.