Other

Sam Technology, Inc.

Eeg Systems Laboratory

Douglas S Greer

Alan S Gevins

Nelson H Morgan

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 input signals hold each other in place in a manifold association processor and form the basis of short-term memory.

Method for extracting spatial knowledge from an input signal using computational manifolds

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.

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

A method and system in Nuclear Magnetic Resonance (NMR) medical imaging systems corrects for three-dimensional distortions arising from the apparatus and patient specific distortions using a phantom and a helmet, both of which have fiducial markers in a three-dimensional matrix. The positions of the phantom and helmet fiducial markers are automatically detected and compared in a computer system which uses image transform algorithms to correct for the various distortions.

Three-dimensional magnetic resonance image distortion correction method

A method and system is provided for the analysis of a human subject's brain wave activity on a statistical basis using a digital computer. The location of portions of the subject's brain and the location of at least 32, and for example 265, external scalp sensors are digitally recorded and stored in computer memory. The subject receives a set of stimuli which evoke brain waves (evoked potential EP or evoked magnetic fields EF) which, along with the location data, are statistically analyzed to indicate the brain sites giving rise to the activity. The brain site activity, and the time interrelationships of brain waves as they progress between brain sites, are displayed on a three-dimensional model or other three-dimensional perspective display.

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San Francisco, CA, United States of America

Douglas S Greer