Abstract: Provided are an apparatus, method, and computer-readable medium for controlling a biological clock and a sleep cycle. The apparatus may include a collection unit configured to receive a brain image of a subject, a stimulation control unit configured to analyze the brain image, set a target point to be stimulated in a target region located in the brain, and derive optimized stimulation conditions, and a stimulation unit configured to apply stimulation according to the stimulation conditions derived by the stimulation control unit, wherein the stimulation control unit comprises a target setting unit configured to analyze the brain image, acquire anatomical central coordinates of the target region, and set the target point according to the acquired central coordinates and a stimulation setting unit configured to configure a stimulation electrode combination according to the set target point and derive a stimulation function according to a stimulation modulation depth maximization function (MMAX).

Abstract: Provided is a method for enhancing cognitive function based on individual cognitive frequency resonance that intentionally and selectively enhances a specific cognitive function by resonating with brain waves through brain stimulation using an electric current of the same frequency or waveform as individual cognitive frequency generated during a cognitive task, and the method includes executing, by a subject, a cognitive task.

Abstract: Provided are prefrontal-based brain-machine interfacing apparatus and a method thereof.

Abstract: When a brain fingerprint is detected, a predetermined visual stimuli is output on a screen of a display, causal connectivity formed by unique EEG signals of a subject between two or more brain regions from among a predetermined plurality of brain regions is detected on the basis of the EEG signals of the subject who selectively attends to a part corresponding to a letter or symbol conceived by the subject from among the visual stimuli output on the screen of the display, an activation pattern of causal connectivity between brain regions is recognized on the basis of the detected causal connectivity, and the subject is identified by using the recognized unique activation pattern of causal connectivity between brain regions as a brain fingerprint.

Abstract: A brain-machine interface apparatus and a method of the same are provided. To elaborate the brain-machine interface apparatus may include a display where a plurality of light-emitting points (or lines) flickering with their individual set frequencies are arranged a flickering controller that divides the plurality of the light-emitting points (or lines) into a plurality of groups, and sets the set frequencies for the groups; an EEG measurement unit that detects EEG signals of a user who watches the display without gaze-shift; a frequency detector that detects one or more (their harmonic or combination) frequency components from the measured EEG signals; a shape analysis unit that decodes an originally intended shape according to the user's imagination based on the one or more detected frequency components and the set frequencies; and a result output unit that outputs information of the embodied originally intended shape.

Abstract: Provided is a method for enhancing cognitive function based on individual cognitive frequency resonance that intentionally and selectively enhances a specific cognitive function by resonating with brain waves through brain stimulation using an electric current of the same frequency or waveform as individual cognitive frequency generated during a cognitive task, and the method includes executing, by a subject, a cognitive task.

Abstract: Provided are prefrontal-based brain-machine interfacing apparatus and a method thereof.

Abstract: When a brain fingerprint is detected, a predetermined visual stimuli is output on a screen of a display, causal connectivity formed by unique EEG signals of a subject between two or more brain regions from among a predetermined plurality of brain regions is detected on the basis of the EEG signals of the subject who selectively attends to a part corresponding to a letter or symbol conceived by the subject from among the visual stimuli output on the screen of the display, an activation pattern of causal connectivity between brain regions is recognized on the basis of the detected causal connectivity, and the subject is identified by using the recognized unique activation pattern of causal connectivity between brain regions as a brain fingerprint.

Abstract: A brain-machine interface apparatus and a method of the same are provided. To elaborate the brain-machine interface apparatus may include a display where a plurality of light-emitting points (or lines) flickering with their individual set frequencies are arranged a flickering controller that divides the plurality of the light-emitting points (or lines) into a plurality of groups, and sets the set frequencies for the groups; an EEG measurement unit that detects EEG signals of a user who watches the display without gaze-shift; a frequency detector that detects one or more (their harmonic or combination) frequency components from the measured EEG signals; a shape analysis unit that decodes an originally intended shape according to the user's imagination based on the one or more detected frequency components and the set frequencies; and a result output unit that outputs information of the embodied originally intended shape.