ABCI: A System for Adaptive Cortical Self Regulation

  • Galina Ivanova (Institut für Biomedizinische Technik und Informatik, Technische Universität Ilmenau)
A3 02 (Seminar room)


The accelerating progress in hard and software technology, and the decreasing production costs open new opportunities, and at the same time arise new conceptual and methodological demands on an interface between the real and artificial intelligence. The individual is differentiated from the statistical averages, and stands with all his/her particularities, capabilities and deficits, more and more at the focus of the technological developments. On the other hand, conditioned by the desire of being able to control diverse components, such as multimedia applications, environmental conditions (e.g., light and sound in a room) and external devices, a general technology is requested.

In order to fulfill these two contradictory requirements, a concept for a flexible and adaptive brain computer interface (ABCI) is developed and technically implemented. Our studies concentrate on the development of a methodology which can enable the configuration and realization of a subject specific interface. Based on the advanced neurobiological and psychophysiological findings on the role and generation mechanisms of the slow cortical potentials (SP), and in consultation with experienced researchers in the field, an SP-based interface is constructed as a sample application. It is successfully used for self-regulation of brain activity by means of multimedia feedback.