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EEG Motor Movement/Imagery Dataset

on004362 · 99 high-confidence citations

  1. Deep learning with convolutional neural networks for EEG decoding and visualization

    Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas D. J. Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball · 2017 · Human Brain Mapping

    Cites paper 3,575 citations

  2. A review of classification algorithms for EEG-based brain–computer interfaces

    Fabien Lotte, Marco Congedo, A. Lécuyer, F. Lamarche, Bruno Arnaldi · 2007 · Journal of Neural Engineering

    Cites paper 2,650 citations

  3. Brain-computer interface technology: a review of the first international meeting

    Jonathan R. Wolpaw, Niels Birbaumer, William Heetderks, Dennis J. McFarland, P. Hunter Peckham, Gerwin Schalk, Emanuel Donchin, Louis A. Quatrano, Charles J. Robinson, Theresa M. Vaughan · 2000 · IEEE Transactions on Rehabilitation Engineering

    Cites paper 2,331 citations

  4. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans

    Jonathan R. Wolpaw, Dennis J. McFarland · 2004 · Proceedings of the National Academy of Sciences

    Cites paper 1,521 citations

  5. The PREP pipeline: standardized preprocessing for large-scale EEG analysis

    Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, Kyung-min Su, Kay A. Robbins · 2015 · Frontiers in Neuroinformatics

    Cites paper 1,433 citations

  6. 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, Benjamin Blankertz · 2012 · Frontiers in Neuroscience

    Cites paper 1,238 citations

  7. A brain–computer interface using electrocorticographic signals in humans

    Eric C. Leuthardt, Gerwin Schalk, Jonathan R. Wolpaw, Jeffrey G. Ojemann, Daniel W. Moran · 2004 · Journal of Neural Engineering

    Cites paper 1,196 citations

  8. The BCI competition III: validating alternative approaches to actual BCI problems

    Benjamin Blankertz, K. Müller, Dean J. Krusienski, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, G. Pfurtscheller, José del R. Millán, Michael Schröder, Niels Birbaumer · 2006 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 923 citations

  9. Toward Brain-Computer Interfacing

    Guido Dornhege, J.R. del Millan, T. Hinterberger, D. McFarland, K.-R. Müller · 2007 · The MIT Press eBooks

    Cites paper 790 citations

  10. Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

    Hubert Cecotti, Anita Graser · 2010 · IEEE Transactions on Pattern Analysis and Machine Intelligence

    Cites paper 786 citations

  11. Spectral Changes in Cortical Surface Potentials during Motor Movement

    Kai J. Miller, Eric C. Leuthardt, Gerwin Schalk, Rajesh P. N. Rao, Nicholas Anderson, Daniel W. Moran, John W. Miller, Jeffrey G. Ojemann · 2007 · Journal of Neuroscience

    Cites paper 774 citations

  12. A comparison of classification techniques for the P300 Speller

    Dean J. Krusienski, Eric W. Sellers, François Cabestaing, Sabri Bayoudh, Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw · 2006 · Journal of Neural Engineering

    Cites paper 758 citations

  13. Toward enhanced P300 speller performance

    Dean J. Krusienski, Eric W. Sellers, Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw · 2007 · Journal of Neuroscience Methods

    Cites paper 744 citations

  14. A P300-based brain–computer interface: Initial tests by ALS patients

    Eric W. Sellers, Emanuel Donchin · 2006 · Clinical Neurophysiology

    Cites paper 716 citations

  15. Breaking the silence: Brain–computer interfaces (BCI) for communication and motor control

    Niels Birbaumer · 2006 · Psychophysiology

    Cites paper 715 citations

  16. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

    Benjamin Blankertz, K. Müller, Gabriel Curio, Theresa M. Vaughan, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, Christa Neuper, G. Pfurtscheller, Thilo Hinterberger, Michael Schröder, Niels Birbaumer · 2004 · IEEE Transactions on Biomedical Engineering

    Cites paper 666 citations

  17. Autoreject: Automated artifact rejection for MEG and EEG data

    Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort · 2017 · NeuroImage

    Cites paper 656 citations

  18. EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

    Arnaud Delorme, Tim Mullen, Christian Kothe, Zeynep Akalin Acar, Nima Bigdely-Shamlo, Andrey Vankov, Scott Makeig · 2011 · Computational Intelligence and Neuroscience

    Cites paper 653 citations

  19. A P300-based brain–computer interface for people with amyotrophic lateral sclerosis

    Femke Nijboer, Eric W. Sellers, Jürgen Mellinger, Mathias Jordan, Tamara Matuz, Adrian Furdea, Sebastian Halder, Ursula Mochty, Dean J. Krusienski, Theresa M. Vaughan, Jonathan R. Wolpaw, Niels Birbaumer, Andrea Kübler · 2008 · Clinical Neurophysiology

    Cites paper 632 citations

  20. Cortical activity during motor execution, motor imagery, and imagery-based online feedback

    Kai J. Miller, Gerwin Schalk, Eberhard E. Fetz, Marcel den Nijs, Jeffrey G. Ojemann, Rajesh P. N. Rao · 2010 · Proceedings of the National Academy of Sciences

    Cites paper 632 citations

  21. Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke

    Ethan R. Buch, Cornelia Weber, Leonardo G. Cohen, Christoph Braun, Michael A. Dimyan, Tyler Ard, Jürgen Mellinger, Andrea Carìa, Surjo R. Soekadar, Alissa D. Fourkas, Niels Birbaumer · 2008 · Stroke

    Cites paper 608 citations

  22. Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface

    K. R. LaFleur, Kaitlin Cassady, Alexander Doud, Kaleb Shades, Eitan Rogin, Bin He · 2013 · Journal of Neural Engineering

    Cites paper 590 citations

  23. Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS

    Mariska J. Vansteensel, Elmar Pels, Martin G. Bleichner, Mariana P. Branco, Timothy Denison, Zachary V. Freudenburg, Peter H. Gosselaar, Sacha Leinders, Thomas H. Ottens, Max van den Boom, Peter C. van Rijen, Erik J. Aarnoutse, Nick F. Ramsey · 2016 · New England Journal of Medicine

    Cites paper 583 citations

  24. A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns

    George Townsend, Brandon K. LaPallo, Chadwick Boulay, Dean J. Krusienski, G. E. Frye, Christopher K. Hauser, N.E. Schwartz, Theresa M. Vaughan, Jonathan R. Wolpaw, Eric W. Sellers · 2010 · Clinical Neurophysiology

    Cites paper 568 citations

  25. xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface

    Bertrand Rivet, Antoine Souloumiac, Virginie Attina, Guillaume Gibert · 2009 · IEEE Transactions on Biomedical Engineering

    Cites paper 538 citations

  26. Decoding two-dimensional movement trajectories using electrocorticographic signals in humans

    Gerwin Schalk, Jan Kubanek, Kai J. Miller, Nicholas Anderson, Eric C. Leuthardt, Jeffrey G. Ojemann, David D. Limbrick, Daniel W. Moran, Lester A. Gerhardt, Jonathan R. Wolpaw · 2007 · Journal of Neural Engineering

    Cites paper 533 citations

  27. Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array

    John D. Simeral, S-P Kim, Michael J. Black, John P. Donoghue, Leigh R. Hochberg · 2011 · Journal of Neural Engineering

    Cites paper 518 citations

  28. A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

    Iñaki Iturrate, Javier M. Antelis, Andrea Kübler, Javier Mínguez · 2009 · IEEE Transactions on Robotics

    Cites paper 513 citations

  29. The Temple University Hospital EEG Data Corpus

    Iyad Obeid, J. Picone · 2016 · Frontiers in Neuroscience

    Cites paper 512 citations

  30. Brain-computer interfaces for communication and control

    Dennis J. McFarland, Jonathan R. Wolpaw · 2011 · Communications of the ACM

    Cites paper 510 citations

  31. BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller

    Alain Rakotomamonjy, Vincent Guigue · 2008 · IEEE Transactions on Biomedical Engineering

    Cites paper 509 citations

  32. A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance

    Eric W. Sellers, Dean J. Krusienski, Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw · 2006 · Biological Psychology

    Cites paper 503 citations

  33. Brain–Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives

    Han Yuan, Bin He · 2014 · IEEE Transactions on Biomedical Engineering

    Cites paper 490 citations

  34. Two-dimensional movement control using electrocorticographic signals in humans

    Gerwin Schalk, Kai J. Miller, Nicholas Anderson, J. Adam Wilson, Matthew D. Smyth, Jeffrey G. Ojemann, Daniel W. Moran, Jonathan R. Wolpaw, Eric C. Leuthardt · 2008 · Journal of Neural Engineering

    Cites paper 488 citations

  35. An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user

    Nadine Simon, Ivo Käthner, Carolin A. Ruf, Emanuele Pasqualotto, Andrea KÃ ⁄ bler, Sebastian Halder · 2015 · Frontiers in Human Neuroscience

    Cites paper 479 citations

  36. Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks

    Jianjun Meng, Shuying Zhang, Angeliki Bekyo, Jaron Olsoe, Bryan Baxter, Bin He · 2016 · Scientific Reports

    Cites paper 478 citations

  37. Electroencephalographic (EEG) control of three-dimensional movement

    Dennis J. McFarland, William A. Sarnacki, Jonathan R. Wolpaw · 2010 · Journal of Neural Engineering

    Cites paper 444 citations

  38. An MEG-based brain–computer interface (BCI)

    Jürgen Mellinger, Gerwin Schalk, Christoph Braun, Hubert Preißl, Wolfgang Rosenstiel, Niels Birbaumer, Andrea Kübler · 2007 · NeuroImage

    Cites paper 442 citations

  39. Brain-Computer Interfaces Using Electrocorticographic Signals

    Gerwin Schalk, Eric C. Leuthardt · 2011 · IEEE Reviews in Biomedical Engineering

    Cites paper 432 citations

  40. BCILAB: a platform for brain–computer interface development

    Christian Kothe, Scott Makeig · 2013 · Journal of Neural Engineering

    Cites paper 430 citations

  41. Brain–computer interface systems: progress and prospects

    Brendan Z. Allison, Elizabeth Winter Wolpaw, Jonathan R. Wolpaw · 2007 · Expert Review of Medical Devices

    Cites paper 415 citations

  42. A brain-computer interface for long-term independent home use

    Eric W. Sellers, Theresa M. Vaughan, Jonathan R. Wolpaw · 2010 · Amyotrophic Lateral Sclerosis

    Cites paper 401 citations

  43. Control of a humanoid robot by a noninvasive brain–computer interface in humans

    Christian Bell, Pradeep Shenoy, Rawichote Chalodhorn, Rajesh P. N. Rao · 2008 · Journal of Neural Engineering

    Cites paper 389 citations

  44. EEG-Based Brain-Controlled Mobile Robots: A Survey

    Luzheng Bi, Xinan Fan, Yili Liu · 2013 · IEEE Transactions on Human-Machine Systems

    Cites paper 386 citations

  45. Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface

    James J. S. Norton, Dong Sup Lee, Jungwoo Lee, Woosik Lee, Oh‐Jin Kwon, Phillip Won, Sung-Young Jung, Huanyu Cheng, Jae‐Woong Jeong, Abdullah Akce, Stephen Umunna, Ilyoun Na, Yong Ho Kwon, Xiaoqi Wang, Zhuangjian Liu, Ungyu Paik, Yonggang Huang, Timothy Bretl, Woon‐Hong Yeo, John A. Rogers · 2015 · Proceedings of the National Academy of Sciences

    Cites paper 386 citations

  46. EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies
\n on Signal Sensing Technologies and Computational Intelligence Approaches and
\n their Applications

    Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Jung, T-P, Lin, C-T · 2020 · UniSA Research Outputs Repository (University of South Australia)

    Cites paper 385 citations

  47. An end-to-end deep learning approach to MI-EEG signal classification for BCIs

    Hauke Dose, Jakob S. Møller, Helle K. Iversen, Sadasivan Puthusserypady · 2018 · Expert Systems with Applications

    Cites paper 383 citations

  48. Noninvasive neuroimaging enhances continuous neural tracking for robotic device control

    Bradley J. Edelman, Jianjun Meng, Daniel Suma, Claire A. Zurn, Eric K. Nagarajan, Bryan Baxter, Christopher C. Cline, Bin He · 2019 · Science Robotics

    Cites paper 382 citations

  49. Decoupling the Cortical Power Spectrum Reveals Real-Time Representation of Individual Finger Movements in Humans

    Kai J. Miller, Stavros Zanos, Eberhard E. Fetz, Marcel den Nijs, Jeffrey G. Ojemann · 2009 · Journal of Neuroscience

    Cites paper 370 citations

  50. Highly Conformable Conducting Polymer Electrodes for In Vivo Recordings

    Dion Khodagholy, Thomas Doublet, Moshe Gurfinkel, Pascale Quilichini, Esma Ismailova, P. Leleux, Thierry Hervé, Sébastien Sanaur, Christophe Bernard, George G. Malliaras · 2011 · Advanced Materials

    Cites paper 369 citations

  51. Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

    Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu · 2019 · IEEE Transactions on Cybernetics

    Cites paper 366 citations

  52. EEG datasets for motor imagery brain–computer interface

    Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon, Sung Chan Jun · 2017 · GigaScience

    Cites paper 355 citations

  53. Guest editorial brain-computer interface technology: a review of the second international meeting

    Theresa M. Vaughan · 2003 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 351 citations

  54. Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface

    Ivo Käthner, Selina C. Wriessnegger, Gernot Müller-Putz, Andrea Kübler, Sebastian Halder · 2014 · Biological Psychology

    Cites paper 333 citations

  55. Towards an independent brain–computer interface using steady state visual evoked potentials

    Brendan Z. Allison, Dennis J. McFarland, Gerwin Schalk, Shi Dong Zheng, Melody Moore Jackson, Jonathan R. Wolpaw · 2008 · Clinical Neurophysiology

    Cites paper 330 citations

  56. The wadsworth BCI research and development program: at home with BCI

    Theresa M. Vaughan, Dennis J. McFarland, Gerwin Schalk, William A. Sarnacki, Dean J. Krusienski, Eric W. Sellers, Jonathan R. Wolpaw · 2006 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 329 citations

  57. An auditory oddball (P300) spelling system for brain‐computer interfaces

    Adrian Furdea, Sebastian Halder, Dean J. Krusienski, D. Bross, Femke Nijboer, Niels Birbaumer, Andrea Kübler · 2009 · Psychophysiology

    Cites paper 326 citations

  58. Non-invasive brain–computer interface system: Towards its application as assistive technology

    Febo Cincotti, Donatella Mattia, Fabio Aloise, Simona Bufalari, Gerwin Schalk, Giuseppe Oriolo, Andrea Cherubini, Maria Grazia Marciani, Fabio Babiloni · 2008 · Brain Research Bulletin

    Cites paper 323 citations

  59. Brain-to-text: decoding spoken phrases from phone representations in the brain

    Christian Herff, Dominic Heger, Adriana de Pesters, Dominic Telaar, Peter Brunner, Gerwin Schalk, Tanja Schultz · 2015 · Frontiers in Neuroscience

    Cites paper 316 citations

  60. A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients

    Andrea Kübler, Adrian Furdea, Sebastian Halder, Eva Maria Hammer, Femke Nijboer, Boris Kotchoubey · 2009 · Annals of the New York Academy of Sciences

    Cites paper 310 citations

  61. Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

    Kai J. Miller, Christopher J. Honey, Dora Hermes, Rajesh P. N. Rao, Marcel denNijs, Jeffrey G. Ojemann · 2013 · NeuroImage

    Cites paper 309 citations

  62. Flashing characters with famous faces improves ERP-based brain–computer interface performance

    Tobias Kaufmann, Stefan M. Schulz, C Grünzinger, Andrea Kübler · 2011 · Journal of Neural Engineering

    Cites paper 298 citations

  63. Decoding flexion of individual fingers using electrocorticographic signals in humans

    Jan Kubanek, Kai J. Miller, Jeffrey G. Ojemann, Jonathan R. Wolpaw, Gerwin Schalk · 2009 · Journal of Neural Engineering

    Cites paper 292 citations

  64. Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?

    Vojkan Mihajlović, Bernard Grundlehner, Ruud Vullers, Julien Penders · 2014 · IEEE Journal of Biomedical and Health Informatics

    Cites paper 290 citations

  65. Does the ‘P300’ speller depend on eye gaze?

    Peter Brunner, Sonja Joshi, S Briskin, Jonathan R. Wolpaw, Horst Bischof, Gerwin Schalk · 2010 · Journal of Neural Engineering

    Cites paper 289 citations

  66. A tactile P300 brain-computer interface

    Anne-Marie Brouwer · 2010 · Frontiers in Neuroscience

    Cites paper 279 citations

  67. Summary of over Fifty Years with Brain-Computer Interfaces—A Review

    Aleksandra Kawala‐Sterniuk, Natalia Browarska, Amir F. Al‐Bakri, Mariusz Pelc, Jarosław Zygarlicki, Michaela Šidiková, Radek Martínek, Edward Jacek Gorzelańczyk · 2021 · Brain Sciences

    Cites paper 278 citations

  68. EEG-based brain–computer interfaces

    Dennis J. McFarland, Jonathan R. Wolpaw · 2017 · Current Opinion in Biomedical Engineering

    Cites paper 274 citations

  69. Feasibility of a New Application of Noninvasive Brain Computer Interface (BCI): A Case Study of Training for Recovery of Volitional Motor Control After Stroke

    Janis J. Daly, Roger Cheng, Jean Rogers, Krisanne Litinas, Kenneth Hrovat, Mark Dohring · 2009 · Neurology Report

    Cites paper 272 citations

  70. A comparative analysis of signal processing and classification methods for different applications based on EEG signals

    Ashima Khosla, Padmavati Khandnor, Trilok Chand · 2020 · Journal of Applied Biomedicine

    Cites paper 270 citations

  71. Consumer Grade EEG Measuring Sensors as Research Tools: A Review

    Phattarapong Sawangjai, Supanida Hompoonsup, Pitshaporn Leelaarporn, Supavit Kongwudhikunakorn, Theerawit Wilaiprasitporn · 2019 · IEEE Sensors Journal

    Cites paper 269 citations

  72. Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms

    Kai J. Miller, Dora Hermes, Christopher J. Honey, Adam O. Hebb, Nick F. Ramsey, Robert T. Knight, Jeffrey G. Ojemann, Eberhard E. Fetz · 2012 · PLoS Computational Biology

    Cites paper 267 citations

  73. Motivation modulates the P300 amplitude during brain–computer interface use

    Sonja C. Kleih, Femke Nijboer, Sebastian Halder, Andrea Kübler · 2010 · Clinical Neurophysiology

    Cites paper 259 citations

  74. A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller

    Erwei Yin, Zongtan Zhou, Jun Jiang, Yang Yu, Dewen Hu · 2014 · IEEE Transactions on Biomedical Engineering

    Cites paper 254 citations

  75. Continuous Three-Dimensional Control of a Virtual Helicopter Using a Motor Imagery Based Brain-Computer Interface

    Alexander Doud, John P. Lucas, Marc T. Pisansky, Bin He · 2011 · PLoS ONE

    Cites paper 248 citations

  76. Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans

    Xiaomei Pei, Dennis L. Barbour, Eric C. Leuthardt, Gerwin Schalk · 2011 · Journal of Neural Engineering

    Cites paper 247 citations

  77. Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data

    Sangtae Ahn, Thien Huu Nguyen, Hyojung Jang, Jae Gwan Kim, Sung Chan Jun · 2016 · Frontiers in Human Neuroscience

    Cites paper 246 citations

  78. Electrocorticography-based brain computer Interface-the seattle experience

    Eric C. Leuthardt, Kai J. Miller, Gerwin Schalk, Rajesh P. N. Rao, Jeffrey G. Ojemann · 2006 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 241 citations

  79. EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots

    Madiha Tariq, Pavel M. Trivailo, Milan Simić · 2018 · Frontiers in Human Neuroscience

    Cites paper 239 citations

  80. Brain–computer-interface research: Coming of age

    Niels Birbaumer · 2006 · Clinical Neurophysiology

    Cites paper 237 citations

  81. Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms

    Bin He, Bryan Baxter, Bradley J. Edelman, Christopher C. Cline, Wenjing W. Ye · 2015 · Proceedings of the IEEE

    Cites paper 236 citations

  82. Electroencephalography (EEG) Technology Applications and Available Devices

    Mahsa Soufineyestani, Dale Dowling, Arshia Khan · 2020 · Applied Sciences

    Cites paper 234 citations

  83. Real‐Time EEG‐Based Happiness Detection System

    Noppadon Jatupaiboon, Setha Pan-ngum, Pasin Israsena · 2013 · The Scientific World JOURNAL

    Cites paper 233 citations

  84. Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition

    Cheolsoo Park, David Looney, Naveed ur Rehman, Alireza Ahrabian, Danilo P. Mandic · 2012 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 230 citations

  85. Speech synthesis from ECoG using densely connected 3D convolutional neural networks

    Miguel Angrick, Christian Herff, Emily M. Mugler, Matthew C. Tate, Marc W. Slutzky, Dean J. Krusienski, Tanja Schultz · 2019 · Journal of Neural Engineering

    Cites paper 229 citations

  86. A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

    Gaowei Xu, Xiaoang Shen, Sirui Chen, Yongshuo Zong, Can Yang Zhang, Hongyang Yue, Min Liu, Fei Chen, Wenliang Che · 2019 · IEEE Access

    Cites paper 227 citations

  87. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm

    Erwei Yin, Zongtan Zhou, Jun Jiang, Fanglin Chen, Yadong Liu, Dewen Hu · 2013 · Journal of Neural Engineering

    Cites paper 225 citations

  88. Electroencephalography-based motor imagery classification using temporal convolutional network fusion

    Yazeed K. Musallam, Nasser I. AlFassam, Ghulam Muhammad, Syed Umar Amin, Mansour Alsulaiman, Wadood Abdul, Hamdi Altaheri, Mohamed A. Bencherif, Mohammed Algabri · 2021 · Biomedical Signal Processing and Control

    Cites paper 222 citations

  89. A Practical Guide to Brain–Computer Interfacing with BCI2000

    Gerwin Schalk, Jürgen Mellinger · 2010 · n/a

    Cites paper 219 citations

  90. EEG Control of a Virtual Helicopter in 3-Dimensional Space Using Intelligent Control Strategies

    Audrey S Royer, Alexander Doud, Minn L. Rose, Bin He · 2010 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 218 citations

  91. Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition

    Xiaomei Pei, Eric C. Leuthardt, Charles M. Gaona, Peter Brunner, Jonathan R. Wolpaw, Gerwin Schalk · 2010 · NeuroImage

    Cites paper 213 citations

  92. Decoding spectrotemporal features of overt and covert speech from the human cortex

    Stéphanie Martin, Peter Brunner, Chris Holdgraf, Hans‐Jochen Heinze, Nathan E. Crone, Jochem W. Rieger, Gerwin Schalk, Robert T. Knight, Brian N. Pasley · 2014 · Frontiers in Neuroengineering

    Cites paper 213 citations

  93. The Wadsworth Center brain-computer interface (BCI) research and development program

    Jonathan R. Wolpaw, Dennis J. McFarland, Theresa M. Vaughan, Gerwin Schalk · 2003 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites paper 212 citations

  94. Brain–computer interfaces

    Jonathan R. Wolpaw · 2013 · Handbook of clinical neurology

    Cites paper 212 citations

  95. Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

    Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo · 2018 · IEEE Transactions on Biomedical Engineering

    Cites paper 210 citations

  96. Adversarial denoising of EEG signals: a comparative analysis of standard GAN and WGAN-GP approaches

    Imad Eddine Tibermacine, Samuele Russo, Francesco Citeroni, Giuseppe Mancini, Abdelaziz Rabehi, Amal H. Alharbi, El‐Sayed M. El‐kenawy, Christian Napoli · 2025 · Frontiers in Human Neuroscience

    Cites dataset 17 citations

  97. Conditional VAE for personalized neurofeedback in cognitive training

    Imad Eddine Tibermacine, Samuele Russo, Gianmarco Scarano, Giancarlo Tedesco, Abdelaziz Rabehi, Amel Ali Alhussan, Doaa Sami Khafaga, Marwa M. Eid, El‐Sayed M. El‐kenawy, Christian Napoli · 2025 · PLoS ONE

    Cites dataset 3 citations

  98. The more, the better? Evaluating the role of EEG preprocessing for deep learning applications

    Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori · 2024 · arXiv (Cornell University)

    Cites dataset

  99. Time Series Machine Learning for Classifying Electroencephalograms

    Aiden Rushbrooke, Saber Sami, Matthew Middlehurst, Anthony Bagnall · 2026 · UEA Digital Repository (University of East Anglia)

    Cites dataset

5 lower-confidence citations (not counted)
  1. The future of marketing

    Roland T. Rust · 2019 · International Journal of Research in Marketing

    Cites paper 347 citations

  2. Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities

    Daryl R. Kipke, William Shain, György Buzsáki, Eberhard E. Fetz, Jaimie M. Henderson, J.F. Hetke, Gerwin Schalk · 2008 · Journal of Neuroscience

    Cites paper 291 citations

  3. A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

    Ghulam Muhammad, Fatima Alshehri, Fakhri Karray, Abdulmotaleb El Saddik, Mansour Alsulaiman, Tiago H. Falk · 2021 · Information Fusion

    Cites paper 278 citations

  4. Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

    David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson · 2021 · Sensors

    Cites paper 254 citations

  5. Neural correlate of the construction of sentence meaning

    Evelina Fedorenko, Terri L. Scott, Peter Brunner, William G. Coon, Brianna Pritchett, Gerwin Schalk, Nancy Kanwisher · 2016 · Proceedings of the National Academy of Sciences

    Cites paper 224 citations