Brain-computer interface (BCI) is a computer-based system that receives and analyzes brain signals and then converts them into commands transmitted to an output device to perform a desired action. Any type of brain signal can be used to control a BCI system. The most commonly studied signals are electrical signals produced mainly by changes in the polarity of the neuronal postsynaptic membrane that occur due to the activation of voltage-gated channels or ion gates.

BCI aims to identify and quantify the features of brain signals that represent the user's intentions and transform these features in real-time into device commands that fulfil the user's goal. A BCI system consists of 4 sequential functions to achieve this goal: I. signal acquisition, II. feature extraction, III. feature translation, IV. device output. These four components are controlled by an operational protocol defining the initiation and timing of operations, signal processing details, the nature of device commands, and performance monitoring. An effective active protocol allows a BCI system to be flexible and meet the specific needs of each user.

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Neuroplasticity refers to the brain’s ability to adapt. Or, as Dr. Campbell puts it: “It refers to the physiological changes in the brain that happen as the result of our interactions with our environment. From the time the brain begins to develop in utero until the day we die, the connections among the cells in our brains reorganize in response to our changing needs. This dynamic process allows us to learn from and adapt to different experiences.”​​​​​​​

What is BCI?​​​​​​​​​​​​​​

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