Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning

• Published in: PloS one Vol. 7; no. 12; p. e51077
• Main Authors: Spüler, Martin, Rosenstiel, Wolfgang, Bogdan, Martin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.12.2012; Public Library of Science (PLoS)
• Subjects: Adaptation; Adult; Biology; Brain; Brain - physiology; Brain-Computer Interfaces; Calibration; Communication; Computer applications; Computer engineering; Computer Science; Electroencephalography; Engineering; Error detection; Evoked Potentials, Visual - physiology; Feasibility studies; Female; Human-computer interface; Humans; Implants; Information transfer; Internet; Learning - physiology; Male; Medicine; Neural networks; On-line systems; Personal computers; Rehabilitation; Unsupervised learning; User-Computer Interface; Visual evoked potentials; Germany

The goal of a Brain-Computer Interface (BCI) is to control a computer by pure brain activity. Recently, BCIs based on code-modulated visual evoked potentials (c-VEPs) have shown great potential to establish high-performance communication. In this paper we present a c-VEP BCI that uses online adaptat...