BCI is an abbreviation for brain–computer interface, often called a mind-machine interface, or sometimes called a direct neural interface. It is a direct communication and control pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.

EEG short for electroencephalography is a method, suitable for the study of oscillations, as it measures repeated, periodic electrical activity of cortical neurons. It is influenced by intrinsic qualities of neurons and by dynamic interactions between communicating neuronal networks, incorporating internal recurrent loops / intrinsic activity and external dynamics/ reactivity. The macropotential is a result of changing pattern of synchronization and desynchronization of regional brain cells, which results in amplitude changes of specific frequency bands. EEG has great time resolution and shows distinct patterns of activity like brain rhythms, oscillations. Brain rhythms can be divided into many frequency bands (delta: 0.5–4 Hz, theta: 4–7 Hz, alpha: 8–13 Hz, beta: 13–30 Hz, gamma: more than 30 Hz) with their specific functional and behavioral correlates and activating contexts and spatial scales.

What enables it? Every thought / mental state can be related to characteristic pattern of activation of the brain. After we teach the computer to recognize, remember and predict these patterns, it becomes possible to “read the mind” of a person just from dynamics of temporo-spatial patterns of his or her brain activity.
Our algorithms / SW analyze your brainwaves and develop a personalized signature which corresponds to each particular task / action, as well as the background or neutral state.

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