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Optimizing Spatial filters for Robust EEG Single-Trial Analysis
TLDR
We present the theoretical background of the common spatial pattern (CSP) algorithm, a popular method in brain-computer interface (BCD) research. Expand
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The BCI competition III: validating alternative approaches to actual BCI problems
TLDR
A brain-computer interface (BCI) is a system that allows its users to control external devices with brain activity. Expand
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Single-trial analysis and classification of ERP components — A tutorial
TLDR
We propose to use shrinkage estimators and show that appropriate regularization of linear discriminant analysis by shrinkage yields excellent results for single-trial ERP classification that are far superior to classical LDA classification. Expand
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On the interpretation of weight vectors of linear models in multivariate neuroimaging
TLDR
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate analysis methods. Expand
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Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
TLDR
We systematically analyze and develop two recent concepts, both capable of enhancing the information gain from multichannel scalp EEG recordings: 1) the combination of classifiers, each specifically tailored for different physiological phenomena, e.g., slow cortical potential shifts, and 2) behavioral paradigms inducing the subjects to generate one out of several brain states (multiclass approach) which all bare a distinctive spatio-temporal signature well discriminable in the standard scalp EEG. Expand
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Spatio-spectral filters for improving the classification of single trial EEG
TLDR
We extend the common spatial pattern (CSP) algorithm to the state space, which utilizes the method of time delay embedding in order to alleviate these adverse effects. Expand
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Neurophysiological predictor of SMR-based BCI performance
TLDR
We propose a neurophysiological predictor of BCI performance which can be determined from a two minute recording of a 'relax with eyes open' condition using two Laplacian EEG channels. Expand
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The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
TLDR
We organized the BCI Competition 2003 to evaluate the current state of the art of these tools. Expand
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The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
TLDR
The Berlin Brain-Computer Interface (BBCI) uses well established motor competencies of its users and a machine learning approach to extract subject-specific patterns from high-dimensional features optimized for detecting the user's intent. Expand
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Classifying Single Trial EEG: Towards Brain Computer Interfacing
TLDR
In this work we study a pseudo-online evaluation of single-trial EEGs from voluntary self-paced finger movements and exploit the laterality of the left/right hand signal as one bit of information for later control. Expand
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