ArticleFrontiers in computational neuroscience2010
Sensory prediction or motor control? Application of marr-albus type models of cerebellar function to classical conditioning.
Article in Frontiers in computational neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Classical conditioning of Purkinje cell responsesBiochemistry and biophysics reports · 2026Article
- A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning.Frontiers in computational neuroscience · 2023Article
- A biochemical mechanism for time-encoding memory formation within individual synapses of Purkinje cells.PloS one · 2021Article
- Absence of Parallel Fibre to Purkinje Cell LTD During Eyeblink Conditioning.Scientific reports · 2018Article
- Sequential Pattern Formation in the Cerebellar Granular Layer.Cerebellum (London, England) · 2017Article
- Computational Architecture of the Granular Layer of Cerebellum-Like Structures.Cerebellum (London, England) · 2017Article
- Mechanisms for motor timing in the cerebellar cortex.Current opinion in behavioral sciences · 2016Article
- Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model [corrected].Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters.PLoS computational biology · 2015Article
- A neuro-inspired model-based closed-loop neuroprosthesis for the substitution of a cerebellar learning function in anesthetized rats.Scientific reports · 2015Article
- Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.Frontiers in computational neuroscience · 2015Article
- Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit.Frontiers in cellular neuroscience · 2015Review
- Time course of the rabbit's conditioned nictitating membrane movements during acquisition, extinction, and reacquisition.Learning & memory (Cold Spring Harbor, N.Y.) · 2014Article
- Prefrontal control of cerebellum-dependent associative motor learning.Cerebellum (London, England) · 2014Article
- Article
- Changes in complex spike activity during classical conditioning.Frontiers in neural circuits · 2014Article
- An adaptive filter model of cerebellar zone C3 as a basis for safe limb control?The Journal of physiology · 2013Review
- Number of spikes in climbing fibers determines the direction of cerebellar learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Optimal properties of analog perceptrons with excitatory weights.PLoS computational biology · 2013Article
- Novelty or surprise?Frontiers in psychology · 2013Article
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4 authors.
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Abstract
Marr-Albus adaptive filter models of the cerebellum have been applied successfully to a range of sensory and motor control problems. Here we analyze their properties when applied to classical conditioning of the nictitating membrane response in rabbits. We consider a system-level model of eyeblink conditioning based on the anatomy of the eyeblink circuitry, comprising an adaptive filter model of the cerebellum, a comparator model of the inferior olive and a linear dynamic model of the nictitating membrane plant. To our knowledge, this is the first model that explicitly includes all these principal components, in particular the motor plant that is vital for shaping and timing the behavioral response. Model assumptions and parameters were systematically investigated to disambiguate basic computational capacities of the model from features requiring tuning of properties and parameter values. Without such tuning, the model robustly reproduced a range of behaviors related to sensory prediction, by displaying appropriate trial-level associative learning effects for both single and multiple stimuli, including blocking and conditioned inhibition. In contrast, successful reproduction of the real-time motor behavior depended on appropriate specification of the plant, cerebellum and comparator models. Although some of these properties appear consistent with the system biology, fundamental questions remain about how the biological parameters are chosen if the cerebellar microcircuit applies a common computation to many distinct behavioral tasks. It is possible that the response profiles in classical conditioning of the eyeblink depend upon operant contingencies that have previously prevailed, for example in naturally occurring avoidance movements.
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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.