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The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects

NeuroImage (Orlando, Fla.), 2007-08, Vol.37 (2), p.539-550

2007

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Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

Journal of neuroscience methods, 2008-01, Vol.167 (1), p.82-90

2008

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The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects

IEEE transactions on biomedical engineering, 2008-10, Vol.55 (10), p.2452-2462

2008

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Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

IEEE transactions on biomedical engineering, 2006-11, Vol.53 (11), p.2274-2281

2006

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Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

IEEE transactions on biomedical engineering, 2004-06, Vol.51 (6), p.993-1002

2004

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The Berlin brain-computer interface: EEG-based communication without subject training

IEEE transactions on neural systems and rehabilitation engineering, 2006-06, Vol.14 (2), p.147-152

2006

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Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis

IEEE transactions on neural systems and rehabilitation engineering, 2003-06, Vol.11 (2), p.127-131

2003

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From outliers to prototypes: Ordering data

Neurocomputing (Amsterdam), 2006-08, Vol.69 (13), p.1608-1618

2006

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Optimizing Spectral Filters for Single Trial EEG Classification

Lecture notes in computer science, 2006, p.414-423

2006

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Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates

Artificial Neural Networks — ICANN 2002, 2002, p.1137-1143

2002

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Importance-Weighted Cross-Validation for Covariate Shift

Lecture notes in computer science, 2006, p.354-363

2006

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A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface

Universal Access in Human-Computer Interaction. Ambient Interaction, p.759-768

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Speeding up classification of multi-channel brain-computer interfaces: common spatial patterns for slow cortical potentials

First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings, 2003, p.595-598

2003

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Algorithms for on-line differentiation of neuroelectric activities

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, Vol.Supplement, p.6525-6525

Mueller, Klaus-robert

2006

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The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States

2006

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The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects

Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

The Berlin brain-computer interface: EEG-based communication without subject training

Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis

From outliers to prototypes: Ordering data

Optimizing Spectral Filters for Single Trial EEG Classification

Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates

Importance-Weighted Cross-Validation for Covariate Shift

A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface

Speeding up classification of multi-channel brain-computer interfaces: common spatial patterns for slow cortical potentials

Algorithms for on-line differentiation of neuroelectric activities

The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States

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