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Hierarchical MOSAIC for movement generation
article published in 2003
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title
Hierarchical MOSAIC for movement generation
(English)
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author
Daniel M. Wolpert
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2
object named as
Daniel M. Wolpert
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author name string
Masahiko Haruno
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1
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Mitsuo Kawato
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3
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publication date
October 2003
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published in
International Congress Series
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volume
1250
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page(s)
575-590
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cites work
Multiple paired forward and inverse models for motor control
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Mosaic model for sensorimotor learning and control.
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Multiple model-based reinforcement learning.
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Internal models in the cerebellum
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Human cerebellar activity reflecting an acquired internal model of a new tool.
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The cerebellum: an overview.
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Distributed representation of limb motor programs in arrays of adjustable pattern generators.
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Hierarchical Mixtures of Experts and the EM Algorithm
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From movement to thought: anatomic substrates of the cerebellar contribution to cognitive processing.
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Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum.
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Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys I. Simple spikes.
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Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II. Complex spikes.
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Internal models for motor control and trajectory planning
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Cerebellar complex spikes encode both destinations and errors in arm movements.
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Preferential activity of dentate neurons during limb movements guided by vision.
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Role for supplementary motor area cells in planning several movements ahead.
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Parallel neural networks for learning sequential procedures.
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Pallidal neuron activity during sequential arm movements.
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A computational model of how the basal ganglia produce sequences.
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Prefrontal cortex activation in task switching: an event-related fMRI study.
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Identifiers
DOI
10.1016/S0531-5131(03)00190-0
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