A method and system for generating an optimal audio stimulus for achieving a target brain state value for a brain state. The method and system can be used to generate one or more brain state models which can decode brain activity signals to predict brain state values. The brain state models can be applied to brain activity signals captured while users are performing tasks with an audio stimulus. Audio features of the audio stimulus can be extracted. An audio-brain model can be trained on the predicted brain state values and the audio features. From the trained audio-brain model, the optimal audio stimulus can be generated.

A method and system for generating an optimal audio stimulus for achieving a target brain state value for a brain state. The method and system can be used to generate one or more brain state models which can decode brain activity signals to predict brain state values. The brain state models can be applied to brain activity signals captured while users are performing tasks with an audio stimulus. Audio features of the audio stimulus can be extracted. An audio-brain model can be trained on the predicted brain state values and the audio features. From the trained audio-brain model, the optimal audio stimulus can be generated.

Apparatuses and methods for non-invasively detecting and classifying transcranial electrical signals are disclosed herein. In an embodiment, system for detecting and interpreting transcranial electrical signals includes: a headset including a plurality of electrodes arranged for detection of the user's transcranial electrical signals; a display configured to display information to the user while the user wears the headset; and a control unit programmed to: (i) receive data relating to the transcranial electrical signals detected by the electrodes of the headset; (ii) create a data matrix with the received data; (iii) convert the data matrix into one or more user values; (iv) define a user output state based on the one or more user values; and (iv) cause alteration of an aspect of the display based on the user output state.

A system and method for a cloud-based gaming platform with integrated health-related data collection capabilities. In an embodiment, the system and method comprise a cloud-based gaming platform comprising a frontend accessible from various game clients which operates a gaming environment on one or more game servers, a backend that provides the game database and analytics used by the game servers to operate the gaming environment, and a HIPPA-compliant security gateway configured to route health-related data from gaming to a healthcare diagnostics and treatment module integrated into the platform. Exercising on an exercise machine compatible with the cloud-based gaming platform entertains the user while simultaneously capturing data about the user's physical and mental performance which can later be used to diagnose medical conditions and, depending on configuration, implement treatment regimens comprising exercise routines and mental simulation via tasks in the gaming environment.

A system and method for therapeutic stimulation using virtual objects and gamification, in which multi-modality stimulus is applied using some combination of virtual elements, attention is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies therapeutic stimulation using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

A system and method for therapeutic stimulation using virtual objects and gamification, in which multi-modality stimulus is applied using some combination of virtual elements, attention is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies therapeutic stimulation using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

A system and method for brainwave entrainment using virtual objects and gamification, in which brainwave entrainment is applied using some combination of gaming elements, brainwave is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies brainwave entrainment using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

ElectroCorticoGraphy (ECoG) sensors and uses are disclosed. These ECoG arrays, systems, and processes may be operable or configured to: i) simultaneously record neural signals while providing stimulation on specific portions of the cortex using a user-guided stimulator; ii) acquire neural signals over a large cortex area; iii) provide individual or group stimulation while concurrently receiving neural feedback; and/or iv) acquire neural signals at a setting remote from the neural source using wireless or other communication techniques.

Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.

Brain modelling includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.