Method of generating an encoded output signal using a manifold association processor having a plurality of pairs of processing elements trained to store a plurality of reciprocal signal pairs

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United States of America Patent

PATENT NO 7805386
SERIAL NO

11749076

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Abstract

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A processor architecture for a learning machine is presented which uses a massive array of processing elements having local, recurrent connections to form global associations between functions defined on manifolds. Associations between these functions provide the basis for learning cause-and-effect relationships involving vision, audition, tactile sensation and kinetic motion. Two arbitrary images hold each other in place in a manifold association processor and form the basis of short-term memory.

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Patent Owner(s)

Patent OwnerAddress
GENERAL MANIFOLDS LLC1026 IRIS COURT CARLSBAD CA 92011

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Greer, Douglas S 1026 Iris Ct. 5 253

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