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Electroencephalography (EEG) provides access to neuronal dynamics non-invasively with millisecond resolution, rendering it a viable method in neuroscience and healthcare.
Riemannian center of mass and mollifier smoothing
Hermann Karcher · 1977
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Event-related EEG / MEG synchronization and
G Pfurtscheller and F H Lopes · 1999
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Independent component analysis: algorithms and applications
A. Hyvärinen and E. Oja · 2000
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Motor imagery and direct brain-computer communication
G. Pfurtscheller and C. Neuper · 2001
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Brain-computer interfaces for communication and control
Jonathan R Wolpaw, Niels Birbaumer, Dennis J McFarland, Gert Pfurtscheller, and Theresa M Vaughan · 2002
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EEG source imaging
Christoph M. Michel, Micah M. Murray, Göran Lantz, Sara Gonzalez, Laurent Spinelli, and Rolando Grave De Peralta · 2004
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Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG
Christa Neuper, Reinhold Scherer, Miriam Reiner, and Gert Pfurtscheller · 2005
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Geoopt: Riemannian Optimization in PyTorch, 2020
Max Kochurov, Rasul Karimov, and Serge Kozlukov · 2005
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Routine and quantitative eeg in mild traumatic brain injury
Marc R. Nuwer, David A. Hovda, Lara M. Schrader, and Paul M. Vespa · 2005
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A Riemannian framework for tensor computing
Xavier Pennec, Pierre Fillard, and Nicholas Ayache · 2006
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Electric Fields of the Brain
Paul L. Nunez and Ramesh Srinivasan · 2006
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Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices
Vincent Arsigny, Pierre Fillard, Xavier Pennec, and Nicholas Ayache · 2007
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Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Kai Keng Ang, Zhang Yang Chin, Haihong Zhang, and Cuntai Guan · 2008
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Subject-independent mental state classification in single trials
Siamac Fazli, Florin Popescu, Márton Danóczy, Benjamin Blankertz, Klaus-Robert Müller, and Cristian Grozea · 2009
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Positive definite matrices
Rajendra Bhatia · 2009
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Optimization algorithms on matrix manifolds
P-A Absil, Robert Mahony, and Rodolphe Sepulchre · 2009
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EEG Recording and Analysis for Sleep Research
Ian G. Campbell · 2009
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A theory of learning from different domains
Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, and Jennifer Wortman Vaughan · 2010
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Multiclass brain-computer interface classification by Riemannian geometry
Alexandre Barachant, Stéphane Bonnet, Marco Congedo, and Christian Jutten · 2011
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Scikit-learn: Machine Learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Review of the BCI Competition IV
Michael Tangermann, Klaus-Robert Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, Carsten Mehring, Kai J Miller, Gernot Müller-Putz, Guido Nolte, Gert Pfurtscheller, Hubert Preissl, Gerwin Schalk, Alois Schlögl, Carmen Vidaurre, Stephan Waldert, and Benjamin Blankertz · 2012
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Autocalibration and recurrent adaptation: towards a plug and play online ERD-BCI
Josef Faller, Carmen Vidaurre, Teodoro Solis-Escalante, Christa Neuper, and Reinhold Scherer · 2012
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Divergence-based framework for common spatial patterns algorithms
Wojciech Samek, Motoaki Kawanabe, and Klaus Robert Müller · 2013
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Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian, and Baba Vemuri · 2013
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On the interpretation of weight vectors of linear models in multivariate neuroimaging
Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John Dylan Haynes, Benjamin Blankertz, and Felix Bießmann · 2013
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MEG and EEG data analysis with MNE-Python
Alexandre Gramfort · 2013
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Automated EEG analysis of epilepsy: A review
U. Rajendra Acharya, S. Vinitha Sree, G. Swapna, Roshan Joy Martis, and Jasjit S. Suri · 2013
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Transfer Learning in Brain-Computer Interfaces
Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Scholkopf, and Moritz Grosse-Wentrup · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Matrix Backpropagation for Deep Networks with Structured Layers
Catalin Ionescu, Orestis Vantzos, and Cristian Sminchisescu · 2015
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Information geometry and its applications , volume 194
Shun-ichi Amari · 2016
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Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients
Ana R. C. Donati, Solaiman Shokur, Edgard Morya, Debora S. F. Campos, Renan C. Moioli, Claudia M. Gitti, Patricia B. Augusto, Sandra Tripodi, Cristhiane G. Pires, Gislaine A. Pereira, Fabricio L. Brasil, Simone Gallo, Anthony A. Lin, Angelo K. Takigami, Maria A. Aratanha, Sanjay Joshi, Hannes Bleuler, Gordon Cheng, Alan Rudolph, and Miguel A. L. Nicolelis · 2016
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Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation
James Townsend, Niklas Koep, and Sebastian Weichwald · 2016
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Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario March, and Victor Lempitsky · 2016
Riemannian batch normalization for SPD neural networks
Daniel Brooks, Olivier Schwander, Frederic Barbaresco, Jean-Yves Schneider, and Matthieu Cord · 2019
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Riemannian Adaptive Optimization Methods
Gary Becigneul and Octavian-Eugen Ganea · 2019
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EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
Min-Ho Lee, O-Yeon Kwon, Yong-Jeong Kim, Hong-Kyung Kim, Young-Eun Lee, John Williamson, Siamac Fazli, and Seong-Whan Lee · 2019
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
Dongrui Wu, Yifan Xu, and Bao-Liang Lu · 2020
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Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline
Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar J. Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, and Gernot Müller-Putz · 2017
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Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review
Marco Congedo, Alexandre Barachant, and Rajendra Bhatia · 2017
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Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces
Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, and Yannick Berthoumieu · 2017
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Geometric Deep Learning: Going beyond Euclidean data
Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst · 2017
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A Riemannian Network for SPD Matrix Learning
Zhiwu Huang and Luc Van Gool · 2017
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Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe · 2017
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Deep learning with convolutional neural networks for EEG decoding and visualization: Convolutional Neural Networks in EEG Analysis
Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, and Tonio Ball · 2017
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Grand Challenges in Neurotechnology and System Neuroergonomics
Stephen H. Fairclough and Fabien Lotte · 2020
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Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey, 2020
Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, and Kurt Keutzer · 2020
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Learning Invariant Representations From EEG via Adversarial Inference
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, and Deniz Erdogmus · 2020
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Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
Lichao Xu, Minpeng Xu, Yufeng Ke, Xingwei An, Shuang Liu, and Dong Ming · 2020
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Momentum Batch Normalization for Deep Learning with Small Batch Size
Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, and Lei Zhang · 2020
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A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance
Frédéric Dehais, Alex Lafont, Raphaëlle Roy, and Stephen Fairclough · 2020
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Design considerations for long term non-invasive Brain Computer Interface training with tetraplegic CYBATHLON pilot: CYBATHLON 2020 Brain-Computer Interface Race Calibration Paradigms
Rea Lehner, Neethu Robinson, Tushar Chouhan, Mihelj Mihelj, Ernest, Kratka Kratka, Paulina, Frédéric Debraine, Cuntai Guan, and Nicole Wenderoth · 2020
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Domain Adaptation with Optimal Transport on the Manifold of SPD matrices
Or Yair, Felix Dietrich, Ronen Talmon, and Ioannis G. Kevrekidis · 2020
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Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, and Alexandre Gramfort · 2020
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Machine-learning-based diagnostics of EEG pathology
Lukas A.W. Gemein, Robin T. Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, and Tonio Ball · 2020
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Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
Yu Zhang, Wei Wu, Russell T. Toll, Sharon Naparstek, Adi Maron-Katz, Mallissa Watts, Joseph Gordon, Jisoo Jeong, Laura Astolfi, Emmanuel Shpigel, Parker Longwell, Kamron Sarhadi, Dawlat El-Said, Yuanqing Li, Crystal Cooper, Cherise Chin-Fatt, Martijn Arns, Madeleine S. Goodkind, Madhukar H. Trivedi, Charles R. Marmar, and Amit Etkin · 2021
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On the interpretation of linear Riemannian tangent space model parameters in M/EEG
Reinmar J. Kobler, Jun-Ichiro Hirayama, Lea Hehenberger, Catarina Lopes-Dias, Gernot Müller-Putz, and Motoaki Kawanabe · 2021
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Improving Transfer Performance of Deep Learning with Adaptive Batch Normalization for Brain-computer Interfaces * {}^{\textrm{*}}
Lichao Xu, Zhen Ma, Jiayuan Meng, Minpeng Xu, Tzyy-Ping Jung, and Dong Ming · 2021
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FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
Ravikiran Mane, Effie Chew, Karen Chua, Kai Keng Ang, Neethu Robinson, A. P. Vinod, Seong-Whan Lee, and Cuntai Guan · 2021
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Continuous sensorimotor rhythm based brain computer interface learning in a large population
James R. Stieger, Stephen A. Engel, and Bin He · 2021
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Long-term mutual training for the CYBATHLON BCI Race with a tetraplegic pilot: a case study on inter-session transfer and intra-session adaptation
Lea Hehenberger, Reinmar J. Kobler, Catarina Lopes-Dias, Nitikorn Srisrisawang, Peter Tumfart, John B. Uroko, Paul R. Torke, and Gernot R. Müller-Putz · 2021
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An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021
Marcel F. Hinss, Ludovic Darmet, Bertille Somon, Emilie Jahanpour, Fabien Lotte, Simon Ladouce, and Raphaëlle N. Roy · 2021
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Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation
Raphaëlle N. Roy, Marcel F. Hinss, Ludovic Darmet, Simon Ladouce, Emilie S. Jahanpour, Bertille Somon, Xiaoqi Xu, Nicolas Drougard, Frédéric Dehais, and Fabien Lotte · 2022
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