EEG-Based Control: Neurologic Mechanisms of Steady-State Self-Regulation.

Abstract : Neural self-regulation is key to successful application of EEG-based control for advanced interface technologies. In the EEG-based interface examined, the magnitude of the steady-state visual evoked response (SSVER) served as a control signal. The SSVER was identified and monitored using non-invasive scalp electrodes and advanced signal processing technology. With biofeedback, subjects learned to increase or decrease the magnitude of their SSVER to an evoking stimulus. These responses were translated into commands that controlled the operation of a physical device or computer program. The objective of this research was to identify some of the neurologic mechanisms involved with neural self-regulation. Using brain electroencephalographic (EEG) and evoked potential (EP) data, the character, timing and neuroanatomical significance of mental operations during task-related processes were examined.