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Brain--computer interfaces are groundbreaking technology whereby brain signals are used to control external devices.
IFNet: An interactive frequency convolutional neural network for enhancing motor imagery decoding from EEG
Jiaheng Wang, Lin Yao, and Yueming Wang. 2023 · 1911
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Theory of communication. Part 1: The analysis of information
Dennis Gabor. 1946 · 1946
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Multivariate analysis
Maurice S Bartlett. 1947 · 1947
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Spatial patterns underlying population differences in the background EEG
Zoltan J Koles, Michael S Lazar, and Steven Z Zhou. 1990 · 1990
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Methods towards invasive human brain computer interfaces
Thomas Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N Hill, Wolfgang Rosenstiel, Christian Elger, Niels Birbaumer, and Bernhard Schölkopf. 2004 · 2004
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A Riemannian framework for tensor computing
Xavier Pennec, Pierre Fillard, and Nicholas Ayache. 2006 · 2006
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Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks
Gert Pfurtscheller, Clemens Brunner, Alois Schlögl, and FH Lopes Da Silva. 2006 · 2006
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Decoding two-dimensional movement trajectories using electrocorticographic signals in humans
Gerwin Schalk, Jan Kubanek, Kai J Miller, NR Anderson, Eric C Leuthardt, Jeffrey G Ojemann, Dave Limbrick, Daniel Moran, Lester A Gerhardt, and Jonathan R Wolpaw. 2007 · 2007
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Filter bank common spatial pattern (FBCSP) in brain-computer interface. In 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) . IEEE, 2390–2397
Kai Keng Ang, Zheng Yang Chin, Haihong Zhang, and Cuntai Guan. 2008 · 2008
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Regularizing common spatial patterns to improve BCI designs: unified theory and new algorithms
Fabien Lotte and Cuntai Guan. 2010 · 2010
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Regularized common spatial pattern with aggregation for EEG classification in small-sample setting
Haiping Lu, How-Lung Eng, Cuntai Guan, Konstantinos N Plataniotis, and Anastasios N Venetsanopoulos. 2010 · 2010
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Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b
Kai Keng Ang, Zheng Yang Chin, Chuanchu Wang, Cuntai Guan, and Haihong Zhang. 2012 · 2012
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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 Mueller-Putz, et al · 2012
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Invariant scattering convolution networks
Joan Bruna and Stéphane Mallat. 2013 · 2013
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Decoding individual finger movements from one hand using human EEG signals
Ke Liao, Ran Xiao, Jania Gonzalez, and Lei Ding. 2014 · 2014
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Analysis and identification of the EEG signals from visual stimulation
Mineyuki Tsuda, Yankun Lang, and Haiyuan Wu. 2014 · 2014
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Brain–computer interfaces using sensorimotor rhythms: current state and future perspectives
Han Yuan and Bin He. 2014 · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
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Multi-manifold modeling in non-Euclidean spaces. In Artificial Intelligence and Statistics . PMLR, 1023–1032
Xu Wang, Konstantinos Slavakis, and Gilad Lerman. 2015 · 2015
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Motor imagery classification based on bilinear sub-manifold learning of symmetric positive-definite matrices
Xiaofeng Xie, Zhu Liang Yu, Haiping Lu, Zhenghui Gu, and Yuanqing Li. 2016 · 2016
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Riemannian approaches in brain-computer interfaces: a review
Florian Yger, Maxime Berar, and Fabien Lotte. 2016 · 2016
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Geometric deep learning: going beyond euclidean data
Michael M Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, and Pierre Vandergheynst. 2017 · 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 · 2017
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The healing nature of occupation
Jennifer Fortuna. 2017 · 2017
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Dimensionality reduction on SPD manifolds: The emergence of geometry-aware methods
Mehrtash Harandi, Mathieu Salzmann, and Richard Hartley. 2017 · 2017
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A riemannian network for spd matrix learning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 31
Zhiwu Huang and Luc Van Gool. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Effect of head volume conduction on directed connectivity estimated between reconstructed EEG sources
Alessandra Anzolin, Paolo Presti, Frederik Van de Steen, Laura Astolfi, Stefan Haufe, and Daniele Marinazzo. 2018 · 2018
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The influence of axle position and the use of accessories on the activity of upper limb muscles during manual wheelchair propulsion
Guilherme da Silva Bertolaccini, Idinei Francisco Pires de Carvalho Filho, Gustavo Christofoletti, Luis Carlos Paschoarelli, and Fausto Orsi Medola. 2018 · 2018
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Effect of wheelchair stroke pattern on upper extremity muscle fatigue
Brittany Bickelhaupt, Sakiko Oyama, Jonathan Benfield, Keith Burau, Shuko Lee, and Michelle Trbovich. 2018 · 2018
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The lottery ticket hypothesis: Finding sparse, trainable neural networks
Jonathan Frankle and Michael Carbin. 2018 · 2018
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Squeeze-and-excitation networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 7132–7141
A multivariate comparison of electroencephalogram and functional magnetic resonance imaging to electrocorticogram using visual object representations in humans
Fatemeh Ebrahiminia, Radoslaw Martin Cichy, and Seyed-Mahdi Khaligh-Razavi. 2022 · 2022
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CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. In 2022 10th International Winter Conference on Brain-Computer Interface (BCI) . IEEE, 1–4
Ji-Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, and Hyungmin Kim. 2022 · 2022
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Ce Ju and Cuntai Guan. 2022a · 2022
Later among the works it cites.
Tensor-cspnet: A novel geometric deep learning framework for motor imagery classification
Ce Ju and Cuntai Guan. 2022b · 2022
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Jie Hu, Li Shen, and Gang Sun. 2018 · 2018
Cited alongside, same era.
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
Vernon J Lawhern, Amelia J Solon, Nicholas R Waytowich, Stephen M Gordon, Chou P Hung, and Brent J Lance. 2018 · 2018
Cited alongside, same era.
Temporal shift module for efficient video understanding. CoRR abs/1811.08383 (2018)
Ji Lin, Chuang Gan, and Song Han. 1811 · 2018
Cited alongside, same era.
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, Maureen Clerc, Marco Congedo, Alain Rakotomamonjy, and Florian Yger. 2018 · 2018
Cited alongside, same era.
Learning temporal information for brain-computer interface using convolutional neural networks
Siavash Sakhavi, Cuntai Guan, and Shuicheng Yan. 2018 · 2018
Cited alongside, same era.
Accessible electroencephalograms (EEGs): A comparative review with openbci’s ultracortex mark IV headset. In 2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA) . IEEE, 1–6
Audrey Aldridge, Eli Barnes, Cindy L Bethel, Daniel W Carruth, Marianna Kocturova, Matus Pleva, and Jozef Juhar. 2019 · 2019
Cited alongside, same era.
Graph theoretical characteristics of EEG-based functional brain networks in patients with epilepsy: The effect of reference choice and volume conduction
Maria N Anastasiadou, Manolis Christodoulakis, Eleftherios S Papathanasiou, Savvas S Papacostas, Avgis Hadjipapas, and Georgios D Mitsis. 2019 · 2019
Cited alongside, same era.
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 · 2019
Cited alongside, same era.
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) . IEEE, 1–8
Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, and Xi Zheng. 2022 · 2022
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MAtt: a manifold attention network for EEG decoding
Yue-Ting Pan, Jing-Lun Chou, and Chun-Shu Wei. 2022 · 2022
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A multi-scale fusion CNN model based on adaptive transfer learning for multi-class MI-classification in BCI system
Arunabha M Roy. 2022 · 2022
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Data with non-Euclidean geometry and its characterization
Prem Kumar Singh. 2022 · 2022
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Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano. 2022 · 2022
Later among the works it cites.
Turning in circles: understanding manual wheelchair use towards developing user-friendly steering systems
Reto Togni, Andrea Kilchenmann, Alba Proffe, Joel Mullarkey, László Demkó, William R Taylor, and Roland Zemp. 2022 · 2022
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Learning to control a BMI-driven wheelchair for people with severe tetraplegia
Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramón Martínez-Olivera, and José del R Millán. 2022 · 2022
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Scatter-based common spatial patterns–a unified spatial filtering framework
Jinlong Dong, Milana Komosar, Johannes Vorwerk, Daniel Baumgarten, and Jens Haueisen. 2023 · 2023
Closest in time.
A Model Combining Multi Branch Spectral-Temporal CNN, Efficient Channel Attention, and LightGBM for MI-BCI Classification
Hai Jia, Shiqi Yu, Shunjie Yin, Lanxin Liu, Chanlin Yi, Kaiqing Xue, Fali Li, Dezhong Yao, Peng Xu, and Tao Zhang. 2023 · 2023
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Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis
Ce Ju and Cuntai Guan. 2023 · 2023
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A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
Yao Liu, Hang Shao, and Bing Bai. 2023 · 2023
Closest in time.
A temporal dependency learning CNN with attention mechanism for MI-EEG decoding
Xinzhi Ma, Weihai Chen, Zhongcai Pei, Jingmeng Liu, Bin Huang, and Jianer Chen. 2023 · 2023
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AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, and Francesco C Morabito. 2023 · 2023
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A high-performance neuroprosthesis for speech decoding and avatar control
Sean L Metzger, Kaylo T Littlejohn, Alexander B Silva, David A Moses, Margaret P Seaton, Ran Wang, Maximilian E Dougherty, Jessie R Liu, Peter Wu, Michael A Berger, et al · 2023
Closest in time.
Intra-and inter-subject common spatial pattern for reducing calibration effort in MI-based BCI
Qingguo Wei and Xinjie Ding. 2023 · 2023
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Feasibility of decoding visual information from EEG
Holly Wilson, Xi Chen, Mohammad Golbabaee, Michael J Proulx, and Eamonn O’Neill. 2023 · 2023
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Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, and Bo Li. 2023 · 2023
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The Rayleigh principle for finding eigenvalues
Ernie Croot. 2005 · 2024
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Disabled-by-design: effects of inaccessible urban public spaces on users of mobility assistive devices–a systematic review
Efthimis Kapsalis, Nils Jaeger, and Jonathan Hale. 2024 · 2024
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Competing Visual Cues Revealed by Electroencephalography: Sensitivity to Motion Speed and Direction
Rassam Rassam, Qi Chen, and Yan Gai. 2024 · 2024
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MI-BMInet: An efficient convolutional neural network for motor imagery brain–Machine interfaces with EEG channel selection
Xiaying Wang, Michael Hersche, Michele Magno, and Luca Benini. 2024 · 2024
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Scalable MatMul-free Language Modeling
Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Peng Zhou, and Jason K Eshraghian. 2024 · 2024
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