Max Planck Institute for Dynamics and Self-Organization -- Department for Nonlinear Dynamics and Network Dynamics Group
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BCCN AG-Seminar

Monday, 14.05.2007 15 c.t.

Non-invasive Brain-Computer-Interfaces

by Moritz Grosse Wentrup
from Technische Universität München

Contact person: Fabian Theis

Location

Seminarraum Haus 2, 4. Stock (Bunsenstr.)

Abstract

The purpose of research on Brain-Computer-Interfaces (BCIs) is the > development of devices that enable communication without using the > peripheral nervous system. BCIs are primarily intended as assistive > devices for people suffering from neuro-degenerative diseases such as > amyotrophic lateral sclerosis (ALS), but also have other potential > applications, e.g., as input devices for video games. Research on > /non-invasive/ BCIs concentrates on infering the intention of the > BCI-user from intentionally induced pattern changes in the > electric/magnetic field of the brain. One of the main challenges in this > context is the low signal-to-noise-ratio of the available EEG/MEG data. > This requires the development of spatial filtering algorithms that > extract those components of the EEG/MEG data that carry most information > about the intention of the BCI-user. In this talk, I will discuss the > central issues in research on non-invasive BCIs, and present some > approaches to spatial filtering for non-invasive BCIs developed in our lab.

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