Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9334
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Main Title: Review of the BCI Competition IV
Author(s): Tangermann, Michael
Müller, Klaus-Robert
Aertsen, Ad
Birbaumer, Niels
Braun, Christoph
Brunner, Clemens
Leeb, Robert
Mehring, Carsten
Miller, Kai J.
Müller-Putz, Gernot R.
Nolte, Guido
Pfurtscheller, Gert
Preissl, Hubert
Schalk, Gerwin
Schlögl, Alois
Vidaurre, Carmen
Waldert, Stephan
Blankertz, Benjamin
Type: Article
Language Code: en
Abstract: The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide high quality neuroscientific data for open access to the scientific community. As experienced already in prior competitions not only scientists from the narrow field of BCI compete, but scholars with a broad variety of backgrounds and nationalities. They include high specialists as well as students. The goals of all BCI competitions have always been to challenge with respect to novel paradigms and complex data. We report on the following challenges: (1) asynchronous data, (2) synthetic, (3) multi-class continuous data, (4) session-to-session transfer, (5) directionally modulated MEG, (6) finger movements recorded by ECoG. As after past competitions, our hope is that winning entries may enhance the analysis methods of future BCIs.
URI: https://depositonce.tu-berlin.de/handle/11303/10374
http://dx.doi.org/10.14279/depositonce-9334
Issue Date: 13-Jul-2012
Date Available: 22-Nov-2019
DDC Class: 610 Medizin und Gesundheit
Subject(s): brain-computer interface
BCI
competition
Sponsor/Funder: BMBF, 01IB001A, LOKI - Lernen zur Organisation komplexer Systeme der Informationsverarbeitung - Lernen im Kontext der Szenenanalyse
BMBF, 01GQ0850, Bernstein Fokus Neurotechnologie - Nichtinvasive Neurotechnologie für Mensch-Maschine Interaktion
EC/FP7/224631/EU/Tools for Brain-Computer Interaction/TOBI
EC/FP7/216886/EU/Pattern Analysis, Statistical Modelling and Computational Learning 2/PASCAL2
BMBF, 01GQ0420, Verbundprojekt: Bernstein-Zentrum für Neural Dynamics, Freiburg - CNDF
BMBF, 01GQ0761, Bewegungsassoziierte Aktivierung - Dekodierung bewegungsassoziierter Gehirnsignale
BMBF, 01GQ0762, Bewegungsassoziierte Aktivierung - Gehirn- und Maschinenlernen
License: https://creativecommons.org/licenses/by/3.0/
Journal Title: Frontiers in Neuroscience
Publisher: Frontiers Media S.A.
Publisher Place: Lausanne
Volume: 6
Article Number: 55
Publisher DOI: 10.3389/fnins.2012.00055
EISSN: 1662-4548
Appears in Collections:Inst. Softwaretechnik und Theoretische Informatik » Publications

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