Method and apparatus for neuroenhancement

A system for determining a target brain activity state-dependent neurostimulation pattern, dependent on a task, comprising:

• a memory configured to store a model of electrical brainwave activity data comprising a plurality of concurrent waves including at least one of a delta rhythm and a theta rhythm over time of a first subject during a plurality of distinct aspects of performance of the task and transitions between respective aspects of performance of the task, dependent on rhythm frequencies and respective phase differences between the plurality of concurrent waves, for each of the plurality of distinct aspects and transitions between respective aspects;
• an input configured to receive brainwaves from a second subject;
• a single-instruction multiple-data processor, configured to perform parallel mathematical transforms of the brainwaves from the second subject in parallel, and to determine at least frequency and phase information;
• and
• at least one processor configured to determine a sequence of neurostimulation patterns for a multichannel neurostimulator,
• the multichannel neurostimulator being configured to stimulate a brain of the second subject, associated with a performance of the task by the second subject, with a stimulus comprising the at least one of the delta rhythm and the theta rhythm and being dependent on a relationship of:
• the determined frequencies and the phases, and
• the rhythm frequencies and respective phase differences between the plurality of concurrent waves of the modelled electrical brainwave activity data comprising a plurality of concurrent waves including at least one of an delta rhythm and a theta rhythm over time of the first subject.

A computer-readable medium, storing therein non-transitory instructions for a programmable processor to perform a process, comprising the computer-implemented steps of:

• reading information from a memory representing dynamic neuronal electrical activity patterns comprising at least one frequency within a range of 1 Hz to 8 Hz selectively associated with the skill or task;
• receiving electroencephalographic signals from a subject;
• performing mathematical transforms using a parallel processor to process of the electroencephalographic signals from the subject in parallel, to at least extract frequency and phase information;
• and
• controlling a neurostimulator, to entrain brainwaves of a subject with at least one sensory stimulus, dependent on the dynamic neuronal electrical activity patterns selectively associated with the skill or task, and a frequency and phase difference of the dynamic neuronal electrical activity patterns from the extracted frequency and phase information, the at least one sensory stimulus comprising the at least one frequency within the range of 1 Hz to 8 Hz, to facilitate performance of the respective skill or task by a stimulated subject.

A method for determining a target brain electrical activity state, dependent on a task, comprising:

• acquiring electrical brainwave activity data comprising a plurality of concurrent waves including at least one of a delta rhythm and a theta rhythm over time of a first subject during a plurality of distinct aspects of performance of the task and transitions between respective aspects of performance of the task;
• analyzing the acquired electrical brainwave activity data comprising the plurality of concurrent waves including the at least one of the delta rhythm and the theta rhythm over time of the first subject, comprising determining rhythm frequencies of the plurality of concurrent waves, and phase differences between the plurality of concurrent waves, including at least one of a delta rhythm and a theta rhythm over time, for each of the plurality of distinct aspects of performance of the task and transitions between respective aspects of performance of the task;
• modelling electrical brainwave characteristics of the first subject for each distinct aspect of performance of the task and transitions between respective aspects of performance of the task based on at least the rhythms frequencies of the plurality of concurrent waves and the phase differences between the plurality of concurrent waves;
• acquiring second electrical brainwave activity data over time of a second subject;
• performing parallel mathematical transforms of the second electrical brainwave activity data an automated parallel processor, configured to determine at least frequency and phase information of the second electrical brainwave activity data;
• modelling second electrical brainwave activity data characteristics of the second subject based on at least the frequency and phase information;
• and
• determining a sequence of neurostimulation patterns for a multichannel neurostimulator configured to entrain brainwaves of the second subject, associated with a performance of the task by the second subject, with the determined rhythm frequencies of the plurality of concurrent waves, and being dependent on the phase differences between the plurality of concurrent waves, the modelled electrical brainwave activity data characteristics of the first subject, and the modelled second electrical brainwave activity data characteristics of the second subject based on at least the frequency and phase information.