Neural mapping

Patent metadata

Field	Value
Publication number	US-11051739-B2
Application number	US-201715716565-A
Country	US
Kind code	B2
Filing date	Sep 27, 2017
Priority date	Sep 27, 2017
Publication date	Jul 6, 2021
Grant date	Jul 6, 2021

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.

First claim

What is claimed is:

1. A computer program product for neural activity interpretation, the computer program product comprising:
a computer-readable storage device and program instructions stored on computer-readable storage device, the program instructions comprising:
program instructions to present a first user with a stimulus;
program instructions to monitor neural activity of the first user;
program instructions to map the neural activity of the first user;
program instructions to receive the first user's verbal reaction to the stimulus;
program instructions to map the linguistic data of the first user's verbal reaction;
program instructions to form 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;
program instructions to associate the high dimensional vector with the stimulus presented, resulting in a thoughts model; and
program instructions to receive a second user neural activity (SUNA);
program instructions to compare SUNA to the thoughts model to identify the neural activity in the second user.

2. The computer program product of claim 1 , further comprising:
program instructions to communicate 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.

3. The computer program product of claim 1 , further comprising:
program instructions to receive the second user's verbal reaction to the stimulus;
program instructions to identify the differences and similarities between the identified neural activity of the first user and the second user;
program instructions to calibrate the parameters of the high dimensional vector to the SUNA.

4. The computer program product of claim 1 , wherein the first user is capable of verbal communication.

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

6. The computer program product of claim 1 , wherein the stimulus is presented to the user in a virtual reality environment.

7. The computer program product 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.

8. A computer system for neural activity interpretation, the computer system comprising:
a processor, a computer-readable tangible storage device, and program instructions stored on computer-readable tangible storage device for execution by the processor, the program instructions comprising:
program instructions to present a first user with a stimulus;
program instructions to monitor neural activity of the first user;
program instructions to map the neural activity of the first user;
program instructions to receive the first user's verbal reaction to the stimulus;
program instructions to map the linguistic data of the first user's verbal reaction;
program instructions to form 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;
program instructions to associate the high dimensional vector with the stimulus presented, resulting in a thoughts model; and
program instructions to receive a second user neural activity (SUNA);
program instructions to compare SUNA to the thoughts model to identify the neural activity in the second user.

9. The computer system of claim 8 , further comprising:
program instructions to communicate 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.

10. The computer system of claim 8 , further comprising:
program instructions to receive the second user's verbal reaction to the stimulus;
program instructions to identify the differences and similarities between the identified neural activity of the first user and the second user;
program instructions to calibrate the parameters of the high dimensional vector to the SUNA.

11. The computer system of claim 8 , 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.

Assignees

• IBM

Inventors

• Kozhaya Joseph N
• Anderson Ryan R
• Akkiraju Rama Kalyani T

Classifications

• A61B5/377

  using evoked responses · CPC title

• A61B5/372 Primary

  Analysis of electroencephalograms · CPC title

• G16H50/70

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title

• A61B5/7267

  involving training the classification device · CPC title

• G06F17/18

  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)} · CPC title