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Nature. 2004 Oct 14;431(7010):768-74.

Generalization in vision and motor control.

Author information

1
McGovern Institute, Department of Brain and Cognitive Sciences, Center for Biological and Computational Learning, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA. tp@ai.mit.edu

Abstract

Learning is more than memory. It is not simply the building of a look-up table of labelled images, or a phone-directory-like list of motor acts and the corresponding sequences of muscle activation. Central to learning and intelligence is the ability to predict, that is, to generalize to new situations, beyond the memory of specific examples. The key to generalization, in turn, is the architecture of the system, more than the rules of synaptic plasticity. We propose a specific architecture for generalization for both the motor and the visual systems, and argue for a canonical microcircuit underlying visual and motor learning.

PMID:
15483597
DOI:
10.1038/nature03014
[Indexed for MEDLINE]
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