Brain-computer interfaces using field potentials

Abstract

Event Abstract Back to Event Brain-computer interfaces using field potentials Carsten Mehring1* 1 Imperial College London, Department of Bioengineering and Department of Electrical and Electronic Engineering, United Kingdom A brain-computer interface (BCI) translates neuronal signals reflecting a subject’s movement intentions into commands driving a machine (e.g. a prosthesis or a computer). In this talk I will present recent findings from our research on the development of BCIs that use non-spiking neuronal signals, e.g. signals measured directly from the surface of the human brain (Electrocorticogram, ECoG) or signals measured non-invasively (EEG / MEG). I will show that different parameters of natural hand/arm movements (e.g. movement direction, velocity and grasp) can be predicted from these signals and used for online control of external actuators. While this demonstrates the principle feasibility of the approach, current BCI control is of limited complexity and performance. To advance ECoG/EEG/MEG based BCIs a better understanding of movement encoding in these signals is essential and I will discuss our recent progress in this direction. Acknowledgements Contributions from A. Aertsen, T. Ball, J. Fischer, F. Galan, X. Liao, T. Milekovic, E.Neitzel, I. Novick, T. Pistohl, J. Rickert, G. Schalk, A. Schulze-Bonhage, E. Vaadia, S. Waldert and others are gratefully acknowledged. Supported by the German Federal Ministry of Education and Research (BMBF Grant 01GQ0420, 0313891 and 01GQ0761). Keywords: Motor Decoding and Brain-Machine Interfaces Conference: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011. Presentation Type: Keynote Topic: other Citation: Mehring C (2011). Brain-computer interfaces using field potentials. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00020 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 26 Sep 2011; Published Online: 04 Oct 2011. * Correspondence: Prof. Carsten Mehring, Imperial College London, Department of Bioengineering and Department of Electrical and Electronic Engineering, London, United Kingdom, carsten.mehring@biologie.uni-freiburg.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Carsten Mehring Google Carsten Mehring Google Scholar Carsten Mehring PubMed Carsten Mehring Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.