A
Alois Schlögl
Researcher at Institute of Science and Technology Austria
Publications - 93
Citations - 11958
Alois Schlögl is an academic researcher from Institute of Science and Technology Austria. The author has contributed to research in topics: Autoregressive model & Brain–computer interface. The author has an hindex of 43, co-authored 93 publications receiving 10746 citations. Previous affiliations of Alois Schlögl include University of Graz & Graz University of Technology.
Papers
More filters
Journal ArticleDOI
Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks
TL;DR: The discrimination between the four motor imagery tasks based on classification of single EEG trials improved when, in addition to event-related desynchronization (ERD), event- related synchronization (ERS) patterns were induced in at least one or two tasks.
Journal ArticleDOI
The BCI competition III: validating alternative approaches to actual BCI problems
Benjamin Blankertz,Klaus-Robert Müller,Dean J. Krusienski,Gerwin Schalk,Jonathan R. Wolpaw,Alois Schlögl,Gert Pfurtscheller,Jd.R. Millan,Michael Schröder,Niels Birbaumer +9 more
TL;DR: The third BCI Competition to address several of the most difficult and important analysis problems in BCI research is organized and the paper describes the data sets that were provided to the competitors and gives an overview of the results.
Journal ArticleDOI
Review of the BCI Competition IV
Michael Tangermann,Klaus-Robert Müller,Ad Aertsen,Niels Birbaumer,Christoph Braun,Christoph Braun,Clemens Brunner,Clemens Brunner,Robert Leeb,Carsten Mehring,Carsten Mehring,Kai J. Miller,Gernot Müller-Putz,Guido Nolte,Gert Pfurtscheller,Hubert Preissl,Hubert Preissl,Gerwin Schalk,Alois Schlögl,Carmen Vidaurre,Stephan Waldert,Stephan Waldert,Stephan Waldert,Benjamin Blankertz +23 more
TL;DR: 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 and it is the hope that winning entries may enhance the analysis methods of future BCIs.
Journal ArticleDOI
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
Benjamin Blankertz,Klaus-Robert Müller,Gabriel Curio,Theresa M. Vaughan,Gerwin Schalk,Jonathan R. Wolpaw,Alois Schlögl,C. Neuper,Gert Pfurtscheller,Thilo Hinterberger,Michael Schröder,Niels Birbaumer +11 more
TL;DR: The BCI Competition 2003 was organized to evaluate the current state of the art of signal processing and classification methods and the results and function of the most successful algorithms were described.
Journal ArticleDOI
Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
TL;DR: Electroencephalogram recordings during right and left motor imagery can be used to move a cursor to a target on a computer screen and an adaptive autoregressive (AAR) model of order 6 was used for on-line classification.