The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Provided is a control system that interfaces with an individual through tracking the eyes and/or tracking other physiological signals generated by an individual. The system, is configured to classify the captured eye images into gestures, that emulate a joystick-like control of the computer. These gestures permit the user to operate, for instance a computer or a system with menu items.

Provided is a control system that interfaces with an individual through tracking the eyes and/or tracking other physiological signals generated by an individual. The system, is configured to classify the captured eye images into gestures, that emulate a joystick-like control of the computer. These gestures permit the user to operate, for instance a computer or a system with menu items.

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

Examples described herein may predict therapy efficacy and/or therapeutic parameters using a comparison of individual patient status data and brain network response maps for the therapy. For example, VNS parameters may be predicted using a comparison of patient EEG data and brain network response maps of VNS therapy at various parameters.

A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

A system and a method for predicting kinesthetic outcomes from observed position, posture, behavior or activity of an individual 1602, 1702. The system uses kinesthetic activity sensors 102, 104 each collecting one or more of audio, video, or physiological signals and capturing the activity of the individual or an ambient environment of the individual. These signals are delivered into a computer system 106 implementing a learning routine 108 which constructs one or more personalized kinetic state models 1510 of positional states for the individual and transitions between the positional states, and further develops one or more customized multi-dimensional prediction models 1500 for the individual and uses the multidimensional prediction models to predict behaviors, activities and/or positional changes likely to occur in the future, and provides notice of predicted unsafe or undesired outcomes.

An input device is to input a shape of a measurement target is response to a signal transmitted from a stylus pen, to determine positional relation between a position of a marker and a shape of the measurement target. The marker is attached to the measurement target and detectable by a cerebral-function measuring device. The input device includes a controller, and a display unit. The controller is configured to generate a screen in which a three dimensional shape of the measurement target and a guide of a position to be acquired next with the stylus pen are superimposed. The display unit is configured to display the screen generated by the controller, on a display portion.

An input device is to input a shape of a measurement target is response to a signal transmitted from a stylus pen, to determine positional relation between a position of a marker and a shape of the measurement target. The marker is attached to the measurement target and detectable by a cerebral-function measuring device. The input device includes a controller, and a display unit. The controller is configured to generate a screen in which a three dimensional shape of the measurement target and a guide of a position to be acquired next with the stylus pen are superimposed. The display unit is configured to display the screen generated by the controller, on a display portion.