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(C)overt attention and visual speller design in an ERP-based brain-computer interface

Behavioral and brain functions, 2010-05, Vol.6 (1), p.28-28

2010

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Single-trial analysis and classification of ERP components — A tutorial

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (2), p.814-825

2011

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Introduction to machine learning for brain imaging

NeuroImage (Orlando, Fla.), 2011-05, Vol.56 (2), p.387-399

2011

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A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue

PloS one, 2010-04, Vol.5 (4), p.e9813-e9813

2010

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On the interpretation of weight vectors of linear models in multivariate neuroimaging

NeuroImage (Orlando, Fla.), 2014-02, Vol.87, p.96-110

2014

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A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

PloS one, 2019-01, Vol.14 (1), p.e0207351-e0207351

2019

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Enhanced performance by a hybrid NIRS–EEG brain computer interface

NeuroImage (Orlando, Fla.), 2012-01, Vol.59 (1), p.519-529

2012

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Cognitive Workload of Tugboat Captains in Realistic Scenarios: Adaptive Spatial Filtering for Transfer Between Conditions

Frontiers in human neuroscience, 2022-01, Vol.16, p.818770-818770

2022

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Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease

eLife, 2022-05, Vol.11

2022

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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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Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces

Neural networks, 2009-11, Vol.22 (9), p.1313-1319

2009

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Motor Imagery Under Distraction— An Open Access BCI Dataset

Frontiers in neuroscience, 2020-10, Vol.14, p.566147-566147

2020

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Neurophysiological predictor of SMR-based BCI performance

NeuroImage (Orlando, Fla.), 2010-07, Vol.51 (4), p.1303-1309

2010

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Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders

Neurotherapeutics, 2019-01, Vol.16 (1), p.105-118

2019

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The point of no return in vetoing self-initiated movements

Proceedings of the National Academy of Sciences - PNAS, 2016-01, Vol.113 (4), p.1080-1085

2016

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Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

Neural computation, 2011-03, Vol.23 (3), p.791-816

2011

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Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli

PloS one, 2015-10, Vol.10 (10), p.e0141281-e0141281

2015

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Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface

PloS one, 2016-02, Vol.11 (2), p.e0148886-e0148886

2016

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The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

Frontiers in neuroscience, 2016-11, Vol.10, p.530-530

2016

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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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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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EEG potentials predict upcoming emergency brakings during simulated driving

Journal of neural engineering, 2011-10, Vol.8 (5), p.056001-1-11

2011

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Toward a Direct Measure of Video Quality Perception Using EEG

IEEE transactions on image processing, 2012-05, Vol.21 (5), p.2619-2629

2012

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Exploring combinations of auditory and visual stimuli for gaze-independent brain-computer interfaces

PloS one, 2014-10, Vol.9 (10), p.e111070-e111070

2014

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Towards zero training for brain-computer interfacing

PloS one, 2008-08, Vol.3 (8), p.e2967-e2967

2008

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(C)overt attention and visual speller design in an ERP-based brain-computer interface

Single-trial analysis and classification of ERP components — A tutorial

Introduction to machine learning for brain imaging

A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue

On the interpretation of weight vectors of linear models in multivariate neuroimaging

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

Enhanced performance by a hybrid NIRS–EEG brain computer interface

Cognitive Workload of Tugboat Captains in Realistic Scenarios: Adaptive Spatial Filtering for Transfer Between Conditions

Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease

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

Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces

Motor Imagery Under Distraction— An Open Access BCI Dataset

Neurophysiological predictor of SMR-based BCI performance

Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders

The point of no return in vetoing self-initiated movements

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli

Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

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

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

EEG potentials predict upcoming emergency brakings during simulated driving

Toward a Direct Measure of Video Quality Perception Using EEG

Exploring combinations of auditory and visual stimuli for gaze-independent brain-computer interfaces

Towards zero training for brain-computer interfacing

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