Brain computer interface (BCI) enables users to control devices such as computers and other gadgets through their own thoughts. BCIs track brain activity and translate it into commands for operating the device. They provide feedback to the user, so that they can correct any inputs which generated errors.

The most common method for building BCIs involves the use of electrodes that are connected to the head or body to capture brain signals. These digital signals are examined to identify relevant signals that match the intended use of the user. These features can include EEG and ECoG response intensities, latencies and power in particular EEG and ECoG frequencies bands, or firing rate of individual cortical neuron.

Our survey confirms that the public is excited by the possibility of using BCI technology in a variety of ways. It is evident however that BCI researchers must address the numerous concerns expressed by the public and their own experts in order to ensure the advancement of this technology.

Among the major issues that remain one of the most important is the improvement of BCI reliability. In order to be practical, an BCI must be as reliable as natural muscle-based movements. This requires a CNS that is sufficiently plastic to allow the BCI to recognize and produce the intended commands. The other major challenge is the substantial cost of invasive BCIs, which include initial and ongoing implantation as well as technical support costs. If these costs can’t be diminished significantly the commercial viability of a BCI will be limited to patients with severe disabilities.

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