IP Library Patent Application 18231174
Patent Application
App. No. 18/231,174

METHOD AND APPARATUS FOR NEUROENHANCEMENT TO FACILITATE LEARNING AND PERFORMANCE

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Quick Facts
Patent No.
US None
App. No.
18/231,174
Abstract

A method of facilitating a skill learning process or improving performance of a task, comprising: determining a brainwave pattern reflecting neuronal activity of a skilled subject while engaged in a respective skill or task; processing the determined brainwave pattern with at least one automated processor; and subjecting a subject training in the respective skill or task to brain entrainment by a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, dependent on the processed temporal pattern extracted from brainwaves reflecting neuronal activity of the skilled subject.

Claims (45)

1 . A system for facilitating learning of a motor skill, comprising:

a brainwave detector, configured to capture brainwaves of a user;

a neural stimulator, configured to stimulate a nervous system of the user with a modulated pattern, and to entrain the brainwaves of the user with the modulated pattern; and

at least one automated processor, configured to:

determine a waveform of captured brainwaves over time from the user;

control the neural stimulator to induce a brain state corresponding to a readiness for training in the motor task, said readiness for training in the motor task being distinct from a readiness for performing the motor task, the brain state corresponding to a readiness for training in the motor task being determined based on brainwave patterns of a subject skilled in the motor skill;

process the determined waveform to detect the brain state corresponding to the readiness for training in the motor task; and

after detection of the brain state corresponding to the readiness for training in the motor task, commence training of the user in the motor skill.

2 . The system according to claim 1 , wherein the at least one automated processor is further configured control the neural stimulator to stimulate the user training in the motor skill with a stimulus dependent on a brainwave pattern of the subject skilled in the motor skill.

3 . The system according to claim 1 , wherein the neural stimulator is configured to generate a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation.

4 . The system according to claim 1 , wherein the neural stimulator stimulates the nervous system of the user with a modulated pattern dependent on real time feedback from captured brainwaves of a user.

5 . The system according to claim 1 , wherein the brainwave detector is configured to capture a spatial pattern of brainwaves of the user, and the at least one automated processor is configured to control the neural stimulator in dependence on the captured spatial pattern.

6 . The system according to claim 5 , wherein the at least one automated processor is configured to adaptively modify the modulated pattern to synchronize an electrical phase of the brainwaves of the user with a brainwave pattern stored in a memory.

7 . The system according to claim 1 , wherein the modulated pattern is responsive to the captured brainwaves prior to stimulation of the user with the modulated pattern.

8 . The system according to claim 1 , wherein the at least one processor comprises at least one single-instruction multiple-data (SIMD) type processor further configured to at least one of:

perform a data matrix transformation.

perform a space-time domain transform;

perform a statistical analysis of the captured brainwaves of the user; and

employ a machine learning algorithm to implement artificial intelligence.

9 . The system according to claim 1 , wherein the at least one processor is further configured to perform a space-time domain transform.

10 . The apparatus according to claim 1 , further comprising a memory configured to a plurality of brainwave patterns in a database, and to select a respective brainwave pattern from the database.

11 . The apparatus according to claim 1 , wherein the neural stimulator is an auditory stimulator configured to generate binaural beats.

12 . A method for facilitating learning of a motor skill, comprising:

capturing brainwaves of a user with a brainwave detector;

stimulating a nervous system of the user with a modulated pattern, and entraining the brainwaves of the user with the modulated pattern, using a neural stimulator;

determining a waveform of captured brainwaves over time from the user;

controlling the neural stimulator, with at least one automated processor, to induce a brain state corresponding to a readiness for training in the motor task, said readiness for training in the motor task being distinct from a readiness for performing the motor task, the brain state corresponding to a readiness for training in the motor task being determined based on brainwave patterns of a subject skilled in the motor skill;

processing the determined waveform, with the at least one automated processor, to detect the brain state corresponding to the readiness for training in the motor task; and

after detection of the brain state corresponding to the readiness for training in the motor task, commencing training of the user in the motor skill.

13 . The method according to claim 12 , further comprising controlling the neural stimulator to stimulate the user training in the motor skill with a stimulus dependent on a brainwave pattern of the subject skilled in the motor skill.

14 . The method according to claim 12 , further comprising generating a stimulus selected from the group consisting of one or more of a sensory excitation, a peripheral excitation, a transcranial excitation, and a deep brain stimulation, with the neural stimulator.

15 . The method according to claim 12 , wherein the neural stimulator stimulates the nervous system of the user with a modulated pattern dependent on real time feedback from captured brainwaves of a user.

16 . The method according to claim 12 , wherein the brainwave detector captures a spatial pattern of brainwaves of the user, the neural stimulator is controlled in dependence on the captured spatial pattern.

17 . The method according to claim 16 , further comprising adaptively modifying the modulated pattern to synchronize an electrical phase of the brainwaves of the user with a brainwave pattern stored in a memory.

18 . The method according to claim 12 , wherein the at least one processor comprises at least one single-instruction multiple-data (SIMD) type processor further configured to at least one of:

perform a data matrix transformation.

perform a space-time domain transform;

perform a statistical analysis of the captured brainwaves of the user; and

employ a machine learning algorithm to implement artificial intelligence.

19 . The method according to claim 12 , further comprising storing a plurality of brainwave patterns in a database, and selective retrieving a respective brainwave pattern from the database to control the neural stimulator.

20 . A computer readable medium storing non-transitory instructions for controlling at least one automated processor to facilitating learning of a motor skill, comprising instructions for performing a method comprising:

capturing brainwaves of a user with a brainwave detector;

stimulating a nervous system of the user with a modulated pattern, and entraining the brainwaves of the user with the modulated pattern, using a neural stimulator;

determining a waveform of captured brainwaves over time from the user, and processing the determined waveform, to detect the brain state corresponding to the readiness for training in the motor task; and

controlling the neural stimulator, to induce a brain state corresponding to a readiness for training in the motor task, said readiness for training in the motor task being distinct from a readiness for performing the motor task, the brain state corresponding to a readiness for training in the motor task being determined based on brainwave patterns of a subject skilled in the motor skill.