A Theory of Cerebellar Function

@article{Albus1971ATO,
  title={A Theory of Cerebellar Function},
  author={James S. Albus},
  journal={Bellman Prize in Mathematical Biosciences},
  year={1971},
  volume={10},
  pages={25-61}
}
  • J. Albus
  • Published 1 February 1971
  • Biology
  • Bellman Prize in Mathematical Biosciences
Synaptic Plasticity in the Cerebellar Cortex and its Role in Motor Learning
  • Ito Masao
  • Biology, Psychology
    Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques
  • 1993
TLDR
The hypothesis that learning proceeds in cerebellar tissues in such a way that error signals of climbing fibers act to depress by LTD those parallel fiber synapses responsible for the errors is probably also for other forms of motor and cognitive learning.
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This paper outlines a new theory of motor learning. The theory is constrained by the anatomy and physiology of sensorimotor pathways through the cerebellum, motor cortex, brainstem and spinal cord.
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TLDR
It is shown that emitting frequency along a Purkinje cell axon results from a discrimination by the system between transformed input signals and an external “noise” due to all other “contexts”, and learning could be considered as the result of a conflict between a set of patterns and the transformedinput signals.
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TLDR
A neural network model, constructed according to the anatomy of the cerebellar cortex, and capable of learning and retrieval of temporal sequences of patterns, and to assess the capacity of formal neural network techniques for modeling of real neural systems.
The modifiable neuronal network of the cerebellum.
  • M. Ito
  • Biology
    The Japanese journal of physiology
  • 1984
TLDR
The idea that a corticonuclear microcomplex endows an extracerebellar system with subtle control capabilities such as coordination, prediction, and adaptation-learning is supported with experimental data on the cerebellar control of the vestibulo-ocular reflex.
A Hybrid Model of the Cerebellum: An Overview
TLDR
It is proposed that pattern recognition and control of firing by output cells are separately handled functions which process independently variable data, which can account for the evidence without a machine learning algorithm.
Mechanisms of Motor Learning
TLDR
This presentation outlines the outcome of recent investigations in the laboratory of rabbit’s cerebello-vestibulo-ocular system and examines how the experimental data support the Marr-Albus model of the cerebellum.
Presynaptic plasticity at cerebellar parallel fiber terminals.
TLDR
It is argued that the wide range of possible mechanisms that can strengthen the parallel fiber to Purkinje cell synapse at the presynaptic level endows the cerebellar cortex with optimal computational capacities to potentiate both spatial and temporal cues that are relevant for fine-regulating memory formation.
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1. A detailed theory of cerebellar cortex is proposed whose consequence is that the cerebellum learns to perform motor skills. Two forms of input—output relation are described, both consistent with
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The background, basic sources of data, concepts, and methodology to be employed in the study of perceptrons are reviewed, and some of the notation to be used in later sections are presented.
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The number of cells in the human is about 908,680 which is about one‐fifteenth the number of Purkinje cells thought by others to be present in thehuman cerebellum.
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