Predicting thought based on neural mapping

Patent metadata

Field	Value
Publication number	US-11076794-B2
Application number	US-201715816193-A
Country	US
Kind code	B2
Filing date	Nov 17, 2017
Priority date	Sep 27, 2017
Publication date	Aug 3, 2021
Grant date	Aug 3, 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 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.

2. 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.

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

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

5. 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.

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

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

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

9. 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.

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

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H50/70

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