# US 11,076,794 B2 · Predicting thought based on neural mapping

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- Number: US 11,076,794 B2
- Document ID: US11076794B2
- Status: Granted
- Kind: B2
- Application number: 15/816,193
- Filed: 2017-11-17
- Published: 2019-03-28
- Granted: 2021-08-03
- Earliest claimed: 2017-09-27
- Assignees: International Business Machines Corporation
- Applicants: International Business Machines Corporation
- Inventors: Joseph N. Kozhaya; Ryan R. Anderson; Rama Kalyani T. Akkiraju
- Web page: https://patentgrep.com/patent/US11076794B2

## CPC

- A61B 5/372: Analysis of electroencephalograms
- A61B 5/14553: {specially adapted for cerebral tissue}
- A61B 5/165: {Evaluating the state of mind, e.g. depression, anxiety}
- A61B 5/377: using evoked responses
- A61B 5/38: Acoustic or auditory stimuli
- A61B 5/7267: {involving training the classification device}
- G06F 17/18: for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)}
- G16H 20/00: ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H 40/67: for remote operation
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- A61B 5/4824: {Touch or pain perception evaluation (A61B5/4821 takes precedence)}
- G16H 50/50: for simulation or modelling of medical disorders
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

An embodiment of the invention may include a method, computer program product and computer system for neural activity interpretation. The method, computer program product and computer system may include a computing device that presents a first user with a stimulus and monitors and maps the neural activity of the first user. The computing device may receive the first user's verbal reaction to the stimulus and map the linguistic data of the first user's verbal reaction to form a high dimensional vector based on the relationships of the mapped neural activity and the mapped verbal reaction of the first user. The computing device may associate the high dimensional vector with the stimulus presented resulting in a thoughts model. The computing device may receive a second user's neural activity and compare that second user's neural activity to the thoughts model to identify the neural activity in the second user.

## Claims

### Claim 1

A method for neural activity interpretation, the method comprising:
presenting a first user with a stimulus;
monitoring neural activity of the first user;
mapping the neural activity of the first user;
receiving the first user's verbal reaction to the stimulus;
mapping the linguistic data of the first user's verbal reaction;
forming a high dimensional vector based on the relationships of the mapped neural activity of the first user and the mapped verbal reaction of the first user;
associating the high dimensional vector with the stimulus presented, resulting in a thoughts model; and
receiving a second user neural activity (SUNA);
comparing SUNA to the thoughts model to identify the neural activity in the second user.

### Claim 2 (depends on 1)

The method of claim 1, further comprising:
communicating a representation of the SUNA to a third user wherein the representation is based on the associated high dimensional vector of similar neural activity in the first user.

### Claim 3 (depends on 2)

The method of claim 2, wherein the representation of the SUNA is a textual output.

### Claim 4 (depends on 2)

The method of claim 2, wherein the representation of the SUNA is an audio output.

### Claim 5 (depends on 1)

The method of claim 1, further comprising:
receiving the second user's verbal reaction to the stimulus;
identifying the differences and similarities between the identified neural activity of the first user and the second user;
calibrating the parameters of the high dimensional vector to the SUNA.

### Claim 6 (depends on 1)

The method of claim 1, wherein the first user is capable of verbal communication.

### Claim 7 (depends on 1)

The method of claim 1, wherein the neural activity comprises electrical signals obtained from an electroencephalogram (EEG).

### Claim 8 (depends on 1)

The method of claim 1, wherein the stimulus is presented to the user in a virtual reality environment.

### Claim 9 (depends on 1)

The method of claim 1, wherein the stimulus is selected from a plurality of stimuli specifically designed to elicit a particular emotional state, memory, sensory experience, cognitive state, psychological response, and judgement.