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A P300-based brain-computer interface for people with amyotrophic lateral sclerosis
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Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band
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Dealing with artifacts: The EOG contamination of the event-related brain potential
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Optimal spatial filtering of single trial EEG during imagined hand movement
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Phase-coupling of theta–gamma EEG rhythms during short-term memory processing
Schack, B., Vath, N., Petsche, H., Geissler, H.-G., and Möller, E. (2002) · 2002
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A well-conditioned estimator for large-dimensional covariance matrices
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Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep
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High gamma power is phase-locked to theta oscillations in human neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., and Knight, R. T. (2006) · 2006
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Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L. and Srinivasan, R. (2006) · 2006
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A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., and Arnaldi, B. (2007) · 2007
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Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Ang, K. K., Chin, Z. Y., Zhang, H., and Guan, C. (2008) · 2008
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Movement related activity in the high gamma range of the human EEG
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Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., and Muller, K.-R. (2008) · 2008
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BCI Competition 2008–Graz data set A
Brunner, C., Leeb, R., Müller-Putz, G., Schlögl, A., and Pfurtscheller, G. (2008) · 2008
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Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans
Monto, S., Palva, S., Voipio, J., and Palva, J. M. (2008) · 2008
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Multi-class filter bank common spatial pattern for four-class motor imagery BCI
Chin, Z. Y., Ang, K. K., Wang, C., Guan, C., and Zhang, H. (2009) · 2009
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Recruitment of an Area Involved in Eye Movements During Mental Arithmetic
Knops, A., Thirion, B., Hubbard, E. M., Michel, V., and Dehaene, S. (2009) · 2009
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Face detection using gpu-based convolutional neural networks
Nasse, F., Thurau, C., and Fink, G. A. (2009) · 2009
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High gamma mapping using EEG
Darvas, F., Scherer, R., Ojemann, J. G., Rao, R. P., Miller, K. J., and Sorensen, L. B. (2010) · 2010
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Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers
Das, K., Giesbrecht, B., and Eckstein, M. P. (2010) · 2010
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Brain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy Volunteers
Münßinger, J. I., Halder, S., Kleih, S. C., Furdea, A., Raco, V., Hösle, A., and Kübler, A. (2010) · 2010
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A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface
Sun, G., Hu, J., and Wu, G. (2010) · 2010
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Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Cecotti, H. and Graser, A. (2011) · 2011
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
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Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
Lotte, F. and Guan, C. (2011) · 2011
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Tonin, L., Carlson, T., Leeb, R., and Millán, J. d. R. (2011) · 2011
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Wyrm: A Brain-Computer Interface Toolbox in Python
Venthur, B., Dähne, S., Höhne, J., Heller, H., and Blankertz, B. (2015) · 2015
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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification
Yang, H., Sakhavi, S., Ang, K. K., and Guan, C. (2015) · 2015
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Deep learning for epileptic intracranial EEG data
Antoniades, A., Spyrou, L., Took, C. C., and Sanei, S. (2016) · 2016
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Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
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Review of the BCI Competition IV
Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., Nolte, G., Pfurtscheller, G., Preissl, H., Schalk, G., Schlögl, A., Vidaurre, C., Waldert, S., and Blankertz, B. (2012) · 2012
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Giusti, A., Cireşan, D. C., Masci, J., Gambardella, L. M., and Schmidhuber, J. (2013) · 2013
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The role of ECoG magnitude and phase in decoding position, velocity, and acceleration during continuous motor behavior
Hammer, J., Fischer, J., Ruescher, J., Schulze-Bonhage, A., Aertsen, A., and Ball, T. (2013) · 2013
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Some Improvements on Deep Convolutional Neural Network Based Image Classification
Howard, A. G. (2013) · 2013
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A review of EEG-based brain-computer interfaces as access pathways for individuals with severe disabilities
Moghimi, S., Kushki, A., Guerguerian, A. M., and Chau, T. (2013) · 2013
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Brain–machine interface in chronic stroke rehabilitation: A controlled study
Ramos-Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, O., Brasil, F. L., Liberati, G., Curado, M. R., Garcia-Cossio, E., Vyziotis, A., Cho, W., Agostini, M., Soares, E., Soekadar, S., Caria, A., Cohen, L. G., and Birbaumer, N. (2013) · 2013
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Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model
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Fast Sequences of Non-spatial State Representations in Humans
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EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
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Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface
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Pre-Trial EEG-Based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force Task
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