ReviewCerebellum (London, England)2009
Computational models of timing mechanisms in the cerebellar granular layer.
Review in Cerebellum (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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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
39 citing papers in PubMed.
- The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neural circuits encode prior knowledge of temporal statistics.Nature neuroscience · 2026Article
- Cerebellar Time and Relative Time: A Comparator-Based Dynamical Timing Model and its Relevance to Psychopathology and Therapies.Cerebellum (London, England) · 2026Review
- Classical conditioning of Purkinje cell responsesBiochemistry and biophysics reports · 2026Article
- The human cerebellum encodes temporally sensitive reinforcement learning signals.bioRxiv : the preprint server for biology · 2025Article
- Hippocampus shapes entorhinal cortical output through a direct feedback circuit.Nature neuroscience · 2025Article
- Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.bioRxiv : the preprint server for biology · 2025Article
- A cerebellar granule cell-climbing fiber computation to learn to track long time intervals.Neuron · 2024Article
- Comparing the Representation of a Simple Visual Stimulus across the Cerebellar Network.eNeuro · 2024Article
- Heterogeneous encoding of temporal stimuli in the cerebellar cortex.Nature communications · 2023Article
- Cognitive-Affective Functions of the Cerebellum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning.Frontiers in computational neuroscience · 2023Article
- Discrimination and learning of temporal input sequences in a cerebellar Purkinje cell model.Frontiers in cellular neuroscience · 2023Article
- Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram.Frontiers in computational neuroscience · 2022Article
- Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation.PLoS computational biology · 2019Article
- Absence of Parallel Fibre to Purkinje Cell LTD During Eyeblink Conditioning.Scientific reports · 2018Article
- A cerebellar mechanism for learning prior distributions of time intervals.Nature communications · 2018Article
- Modeling the Encoding of Saccade Kinematic Metrics in the Purkinje Cell Layer of the Cerebellar Vermis.Frontiers in computational neuroscience · 2018Article
- Article
- Theoretical implications of quantitative properties of interval timing and probability estimation in mouse and rat.Journal of the experimental analysis of behavior · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A long-standing question in neuroscience is how the brain controls movement that requires precisely timed muscle activations. Studies using Pavlovian delay eyeblink conditioning provide good insight into this question. In delay eyeblink conditioning, which is believed to involve the cerebellum, a subject learns an interstimulus interval (ISI) between the onsets of a conditioned stimulus (CS) such as a tone and an unconditioned stimulus such as an airpuff to the eye. After a conditioning phase, the subject's eyes automatically close or blink when the ISI time has passed after CS onset. This timing information is thought to be represented in some way in the cerebellum. Several computational models of the cerebellum have been proposed to explain the mechanisms of time representation, and they commonly point to the granular layer network. This article will review these computational models and discuss the possible computational power of the cerebellum.
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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.