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.

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.

Embodiments may provide techniques that may provide the capability to provide brain monitoring and stimulation devices using an array of multifunctional cells of circuitry. For example, in an embodiment, an apparatus may comprise a plurality of multifunction pixels, each multifunction pixel may comprise electrical reading enabling circuitry, electrical stimulation enabling circuitry, optical reading enabling circuitry, optical stimulation enabling circuitry, and data selection circuitry.

Embodiments may provide techniques that may provide the capability to provide brain monitoring and stimulation devices using an array of multifunctional cells of circuitry. For example, in an embodiment, an apparatus may comprise a plurality of multifunction pixels, each multifunction pixel may comprise electrical reading enabling circuitry, electrical stimulation enabling circuitry, optical reading enabling circuitry, optical stimulation enabling circuitry, and data selection circuitry.

A magnetic field recording system includes a headgear to be placed on a user; optically pumped magnetometers (OPMs) disposed in or on the headgear to detect magnetic fields; at least two sensing modalities selected from the following: i) a magnetic sensing modality, ii) an optical sensing modality, or iii) an inertial sensing modality; and a tracking unit configured to receive, from each of the at least two sensing modalities, a corresponding magnetic data stream, optical data stream, or inertial data stream and to track a position or orientation of the headgear or user; and a system controller configured to control operation of the OPMs and to receive, from the tracking unit, the position or orientation of the headgear or user.

A magnetic field recording system includes a headgear to be placed on a user; optically pumped magnetometers (OPMs) disposed in or on the headgear to detect magnetic fields; at least two sensing modalities selected from the following: i) a magnetic sensing modality, ii) an optical sensing modality, or iii) an inertial sensing modality; and a tracking unit configured to receive, from each of the at least two sensing modalities, a corresponding magnetic data stream, optical data stream, or inertial data stream and to track a position or orientation of the headgear or user; and a system controller configured to control operation of the OPMs and to receive, from the tracking unit, the position or orientation of the headgear or user.

Methods and apparatus configured to allow for users to intentionally interface with an external signal are provided. The methods and apparatus incorporate a randomly-generated electronic signal the behavior of which may be influenced to provide a control output. The methods and apparatus provide a temporal coherence measure influenced by a user that improves the ability to discriminate between intentionality and non-intentionality, and allow for the control of switching, communication, feedback and mechanical movement.

Disclosed herein are methods and apparatus for the imaging of brain electrical activity from electromagnetic measurements, using deep learning neural networks where a simulation process is designed to model realistic brain activation and electromagnetic signals to train generalizable neural networks and a residual convolutional neural network and/or a recurrent neural network is trained using the simulated data, capable of estimating source distributions from electromagnetic measurements, and their temporal dynamics over time, for pathological signals in diseased brains, such as interictal activity and ictal signals, and physiological brain signals such as evoked brain responses and spontaneous brain activity.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.

An automated EP analysis apparatus for monitoring, detecting and identifying changes (adverse or recovering) to a physiological system generating the analyzed EPs, wherein the apparatus is adapted to characterize and classify EPs and create alerts of changes (adverse or recovering) to the physiological systems generating the EPs if the acquired EP waveforms change significantly in latency, amplitude or morphology.