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Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Due to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysisExpand
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The BCI competition III: validating alternative approaches to actual BCI problems
A brain-computer interface (BCI) is a system that allows its users to control external devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation ofExpand
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Single-trial analysis and classification of ERP components — A tutorial
Analyzing brain states that correspond to event related potentials (ERPs) on a single trial basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio between signalExpand
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Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
Noninvasive electroencephalogram (EEG) recordings provide for easy and safe access to human neocortical processes which can be exploited for a brain-computer interface (BCI). At present, however, theExpand
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On the interpretation of weight vectors of linear models in multivariate neuroimaging
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate analysis methods. Often it is desired to interpret the outcome of theseExpand
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Spatio-spectral filters for improving the classification of single trial EEG
Data recorded in electroencephalogram (EEG)-based brain-computer interface experiments is generally very noisy, nonstationary, and contaminated with artifacts that can deteriorateExpand
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The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
Interest in developing a new method of man-to-machine communication-a brain-computer interface (BCI)-has grown steadily over the past few decades. BCIs create a new communication channel between theExpand
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Neurophysiological predictor of SMR-based BCI performance
Brain-computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After about 30years of BCI research, the successExpand
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The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
Brain-Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded from the scalp, the surface of the cortex,Expand
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Classifying Single Trial EEG: Towards Brain Computer Interfacing
Driven by the progress in the field of single-trial analysis of EEG, there is a growing interest in brain computer interfaces (BCIs), i.e., systems that enable human subjects to control a computerExpand
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