Rerport available: Human Adaptive Control

[Reza Shadmehr]

The following report is available from neuropose:

fTP-host: archive.cis.ohio-state.edu
FTP-file: pub/neuroprose/shadmehr.elements.ps.Z

number of pages: 8
contact: reza at ai.mit.edu
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Computational Elements of the Adaptive Controller of the Human Arm

        Reza Shadmehr and Ferdinando Mussa-Ivaldi
        Dept. of Brain and Cognitive Sciences
                       M. I. T.

	We consider the problem of how the CNS learns to 
	control dynamics of a mechanical system.
	By using a paradigm where a subject's hand interacts 
	with a virtual mechanical environment, we show that 
	learning control is via composition of a model of the 
	imposed dynamics.  Some properties of the computational 
	elements with which the CNS composes this model are 
	inferred through the generalization capabilities of the 
	subject outside the training data.


with best wishes,

Reza Shadmehr
reza at ai.mit.edu