NODE EXCITATION DRIVING FUNCTION MEASURES FOR CEREBRAL CORTEX NETWORK ANALYSIS OF ELECTROENCEPHALOGRAMS

Patent №

US 9,107,595

Granted

2015-08-18

Filed 2014

Owner

ARMY, UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE, THE

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14499562

Methods and apparatuses for estimating brain activity of a human subject from the measurement of electroencephalograms (EEG) are disclosed. In one method, cortical neural sources in the cerebral cortex of the brain of the subject are specified. Next, using a model of the human brain which treats the cortical neural sources as nodes in a cortical source network, cortical source activations are estimated from the measured electroencephalograms for each of the cortical neural sources in the network for the subject. Source network modulation control signals are then determined for the subject from the cortical source activations which are assumed to correspond to control modulators in the human brain. And a network activity classification is computed from determined modulation control signals for the subject. The innovative technology may be included in an automated aiding system in the electronic aiding of tasks performed by human operators.

Machine learningAI hardwareA61B 5/316A61B 5/374A61B 5/377

AI classification

AI hardware1.00
Machine learning1.00
Planning0.44
Vision0.42
Knowledge representation0.07
Natural language0.03
Evolutionary computation0.02
Speech0.00

Ownership

ARMY, UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE, THE

assignment · 340030686

Assignors

SMYTH, CHRISTOPHER C.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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