A spelling device for the paralysed

Neuronal ensemble control of prosthetic devices by a human with tetraplegia

Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295 · see citing works

Brain Computer Interfaces, a Review

Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143 · see citing works

Brain–machine interfaces: past, present and future

Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875 · see citing works

Learning to control a brain–machine interface for reaching and grasping by primates

Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761 · see citing works

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

Wolpaw, J. R., & McFarland, D. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403504101 · Cited by 1,512 · see citing works

Consciousness, accessibility, and the mesh between psychology and neuroscience

Block, N. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07002786 · Cited by 1,146 · see citing works

Brain–computer interfaces for communication and rehabilitation

Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928 · see citing works

An efficient P300-based brain–computer interface for disabled subjects

Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens, K. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.005 · Cited by 859 · see citing works

Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics

Schwartz, A. B., Cui, X. T., Weber, D. J., & Moran, D. W. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.019 · Cited by 792 · see citing works

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

Cecotti, H., & Graser, A. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.125 · Cited by 778 · see citing works

Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control

Birbaumer, N. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00456.x · Cited by 722 · see citing works

Motor learning elicited by voluntary drive

Lotze, M. (2003) · Brain · doi:10.1093/brain/awg079 · Cited by 691 · see citing works

Neurophysiological predictor of SMR-based BCI performance

Blankertz, B., Sannelli, C., Halder, S., Hammer, E. M., Kübler, A., Müller, K.-R., Curio, G., & Dickhaus, T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.022 · Cited by 674 · see citing works

How many people are able to control a P300-based brain-computer interface (BCI)?

Guger, C., Daban, S., Sellers, E., Holzner, C., Krausz, G., Carabalona, R., Gramatica, F., & Edlinger, G. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.045 · Cited by 652 · see citing works

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface

Kübler, A., Nijboer, F., Mellinger, J., Vaughan, T. M., Pawelzik, H., Schalk, G., McFarland, D. J., Birbaumer, N., & Wolpaw, J. R. (2005) · Neurology · doi:10.1212/01.wnl.0000158616.43002.6d · Cited by 539 · see citing works

How many people are able to operate an EEG-based brain-computer interface (BCI)?

Guger, C., Edlinger, G., Harkam, W., Niedermayer, I., & Pfurtscheller, G. (2003) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2003.814481 · Cited by 526 · see citing works

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

Simeral, J. D., Kim, S.-P., Black, M. J., Donoghue, J. P., & Hochberg, L. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/2/025027 · Cited by 496 · see citing works

The thought translation device (TTD) for completely paralyzed patients

Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493 · see citing works

How psychotherapy changes the brain – the contribution of functional neuroimaging

Linden, D. E. J. (2006) · Molecular Psychiatry · doi:10.1038/sj.mp.4001816 · Cited by 491 · see citing works

EEG-based neuroprosthesis control: A step towards clinical practice

Müller-Putz, G. R., Scherer, R., Pfurtscheller, G., & Rupp, R. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.03.021 · Cited by 477 · see citing works

Brain oscillations control hand orthosis in a tetraplegic

Pfurtscheller, G., Guger, C., Müller, G., Krausz, G., & Neuper, C. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01471-3 · Cited by 472 · see citing works

Psychobiology of Altered States of Consciousness.

Vaitl, D., Birbaumer, N., Gruzelier, J., Jamieson, G. A., Kotchoubey, B., Kübler, A., Lehmann, D., Miltner, W. H. R., Ott, U., Pütz, P., et al. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.1.98 · Cited by 448 · see citing works

Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Kübler, A., & Birbaumer, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.06.019 · Cited by 441 · see citing works

BCILAB: a platform for brain–computer interface development

Kothe, C. A., & Makeig, S. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056014 · Cited by 412 · see citing works

Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems

Curran, E. (2003) · Brain and Cognition · doi:10.1016/s0278-2626(03)00036-8 · Cited by 417 · see citing works

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

Sellers, E. W., Vaughan, T. M., & Wolpaw, J. R. (2010) · Amyotrophic Lateral Sclerosis · doi:10.3109/17482961003777470 · Cited by 400 · see citing works

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., et al. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00198 · Cited by 357 · see citing works

BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?

Allison, B., Luth, T., Valbuena, D., Teymourian, A., Volosyak, I., & Graser, A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039495 · Cited by 344 · see citing works

The influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study

Nijboer (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00055 · Cited by 323 · see citing works

A Wireless Brain-Machine Interface for Real-Time Speech Synthesis

Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A., Tourville, J. A., Panko, M., Law, R., Siebert, S. A., Bartels, J. L., Andreasen, D. S., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008218 · Cited by 306 · see citing works

Clinical application of an EEG-based brain–computer interface: a case study in a patient with severe motor impairment

Neuper, C., Müller, G. R., Kübler, A., Birbaumer, N., & Pfurtscheller, G. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00387-5 · Cited by 317 · see citing works

Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

Lotte, F., Larrue, F., & Mühl, C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00568 · Cited by 307 · see citing works

Psychological predictors of SMR-BCI performance

Hammer, E. M., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., Müller, K.-R., & Kübler, A. (2012) · Biological Psychology · doi:10.1016/j.biopsycho.2011.09.006 · Cited by 267 · see citing works

Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience

Oxley, T. J., Yoo, P. E., Rind, G. S., Ronayne, S. M., Lee, C. M. S., Bird, C., Hampshire, V., Sharma, R. P., Morokoff, A., Williams, D. L., et al. (2021) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2020-016862 · Cited by 243 · see citing works

Decoding spoken words using local field potentials recorded from the cortical surface

Kellis, S., Miller, K., Thomson, K., Brown, R., House, P., & Greger, B. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/5/056007 · Cited by 235 · see citing works

Electroencephalography (EEG)-based brain–computer interface (BCI): a 2-d virtual wheelchair control based on event-related desynchronization/synchronization and state control

Huang, D., Qian, K., Fei, D.-Y., Jia, W., Chen, X., & Bai, O. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2190299 · Cited by 237 · see citing works

Motor imagery classification by means of source analysis for brain–computer interface applications

Qin, L., Ding, L., & He, B. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/3/002 · Cited by 239 · see citing works

FMRI brain-computer interface: a tool for neuroscientific research and treatment.

Sitaram, R., Caria, A., Veit, R., Gaber, T., Rota, G., Kuebler, A., & Birbaumer, N. (2007) · Computational Intelligence and Neuroscience · doi:10.1155/2007/25487 · Cited by 233 · see citing works

Life can be worth living in locked-in syndrome

Lulé, D., Zickler, C., Häcker, S., Bruno, M. A., Demertzi, A., Pellas, F., Laureys, S., & Kübler, A. (2009) · Progress in Brain Research · doi:10.1016/s0079-6123(09)17723-3 · Cited by 217 · see citing works

Activity-dependent neural plasticity from bench to bedside

Ganguly, K., & Poo, M.-M. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.028 · Cited by 202 · see citing works

Emulation of computer mouse control with a noninvasive brain–computer interface

McFarland, D. J., Krusienski, D. J., Sarnacki, W. A., & Wolpaw, J. R. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/2/001 · Cited by 202 · see citing works

Implantable microscale neural interfaces

Cheung, K. C. (2007) · Biomedical Microdevices · doi:10.1007/s10544-006-9045-z · Cited by 202 · see citing works

Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes

Kam, J. W. Y., Griffin, S., Shen, A., Patel, S., Hinrichs, H., Heinze, H.-J., Deouell, L. Y., & Knight, R. T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.012 · Cited by 188 · see citing works

A fully on-line adaptive BCI

Vidaurre, C., Schloogl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.873542 · Cited by 195 · see citing works

The effects of alpha/theta neurofeedback on personality and mood

Raymond, J., Varney, C., Parkinson, L. A., & Gruzelier, J. H. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.10.023 · Cited by 191 · see citing works

Neural Interfaces for Control of Upper Limb Prostheses: The State of the Art and Future Possibilities

Schultz, A. E., & Kuiken, T. A. (2011) · PM&R · doi:10.1016/j.pmrj.2010.06.016 · Cited by 186 · see citing works

How Many People Could Use an SSVEP BCI?

Guger, C., Allison, B. Z., Großwindhager, B., Prückl, R., Hintermüller, C., Kapeller, C., Bruckner, M., Krausz, G., & Edlinger, G. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00169 · Cited by 176 · see citing works

Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis

Wolpaw, J. R., Bedlack, R. S., Reda, D. J., Ringer, R. J., Banks, P. G., Vaughan, T. M., Heckman, S. M., McCane, L. M., Carmack, C. S., Winden, S., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005812 · Cited by 170 · see citing works

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

Perdikis, S., Tonin, L., Saeedi, S., Schneider, C., & Millán, J. D. R. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2003787 · Cited by 166 · see citing works

Personalized Neuroprosthetics

Borton, D., Micera, S., Millán, J. D. R., & Courtine, G. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005968 · Cited by 171 · see citing works

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

Leeb, R., Perdikis, S., Tonin, L., Biasiucci, A., Tavella, M., Creatura, M., Molina, A., Al-Khodairy, A., Carlson, T., & Millán, J. D. R. (2013) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2013.08.004 · Cited by 166 · see citing works

Combining eye gaze input with a brain–computer interface for touchless human–computer interaction

Zander, T. O., Gaertner, M., Kothe, C., & Vilimek, R. (2010) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2011.535752 · Cited by 143 · see citing works

Noninvasive brain-computer interface enables communication after brainstem stroke

Sellers, E. W., Ryan, D. B., & Hauser, C. K. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007801 · Cited by 140 · see citing works

On the Use of Longitudinal Intrafascicular Peripheral Interfaces for the Control of Cybernetic Hand Prostheses in Amputees

Micera, S., Navarro, X., Carpaneto, J., Citi, L., Tonet, O., Rossini, P. M., Carrozza, M. C., Hoffmann, K. P., Vivo, M., Yoshida, K., et al. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.2006207 · Cited by 120 · see citing works

Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness

Li, Y., Pan, J., Long, J., Yu, T., Wang, F., Yu, Z., & Wu, W. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2469106 · Cited by 117 · see citing works

Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex

Brumberg (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00065 · Cited by 114 · see citing works

Neurofeedback, self-regulation and brain imaging: clinical science and fad in the service of mental disorders

Thibault, R. T., Lifshitz, M., Birbaumer, N., & Raz, A. (2015) · Psychotherapy and Psychosomatics · doi:10.1159/000371714 · Cited by 112 · see citing works

Brain-machine interfaces: an overview.

Lebedev, M. (2014) · Translational Neuroscience · doi:10.2478/s13380-014-0212-z · Cited by 112 · see citing works

Human cortical prostheses: lost in translation?

Ryu, S. I., & Shenoy, K. V. (2009) · Neurosurgical Focus · doi:10.3171/2009.4.focus0987 · Cited by 104 · see citing works

A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface

Blankertz, B., Krauledat, M., Dornhege, G., Williamson, J., Murray-Smith, R., & Müller, K.-R. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-73281-5_83 · Cited by 106 · see citing works

Neurofeedback Training for BCI Control

Neuper, C., & Pfurtscheller, G. (2009) · The Frontiers Collection · doi:10.1007/978-3-642-02091-9_4 · Cited by 102 · see citing works

Heading for new shores! Overcoming pitfalls in BCI design

Chavarriaga, R., Fried-Oken, M., Kleih, S., Lotte, F., & Scherer, R. (2017) · Brain-Computer Interfaces · doi:10.1080/2326263x.2016.1263916 · Cited by 97 · see citing works

Effects of training and motivation on auditory P300 brain-computer interface performance

Baykara, E., Ruf, C. A., Fioravanti, C., Käthner, I., Simon, N., Kleih, S. C., Kübler, A., & Halder, S. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.04.054 · Cited by 91 · see citing works

Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution

Höhne, J., Holz, E., Staiger-Sälzer, P., Müller, K.-R., Kübler, A., & Tangermann, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104854 · Cited by 85 · see citing works

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

Perdikis, S., Leeb, R., Williamson, J., Ramsay, A., Tavella, M., Desideri, L., Hoogerwerf, E.-J., Al-Khodairy, A., Murray-Smith, R., & Millán, J. D. R. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/036003 · Cited by 85 · see citing works

Ethical considerations for the use of brain–computer interfaces for cognitive enhancement

Gordon, E. C., & Seth, A. K. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002899 · Cited by 64 · see citing works

Parametric Orchestral Sonification of EEG in Real Time

Hinterberger, T., & Baier, G. (2005) · IEEE Multimedia · doi:10.1109/mmul.2005.36 · Cited by 60 · see citing works

Qualitative assessment of patients’ attitudes and expectations toward BCIs and implications for future technology development

Schicktanz, S., Amelung, T., & Rieger, J. W. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00064 · Cited by 42 · see citing works

Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications

Eliseyev, A., Auboiroux, V., Costecalde, T., Langar, L., Charvet, G., Mestais, C., Aksenova, T., & Benabid, A.-L. (2017) · Scientific Reports · doi:10.1038/s41598-017-16579-9 · Cited by 42 · see citing works

The Emergence of Functional Ultrasound for Noninvasive Brain–Computer Interface

Zheng, H., Niu, L., Qiu, W., Liang, D., Long, X., Li, G., Liu, Z., & Meng, L. (2023) · Research · doi:10.34133/research.0200 · Cited by 27 · see citing works

P300 event-related potential detection using one-dimensional convolutional capsule networks

Liu, X., Xie, Q., Lv, J., Huang, H., & Wang, W. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114701 · Cited by 23 · see citing works

A Cascade xDAWN EEGNet Structure for Unified Visual-Evoked Related Potential Detection

Wang, H., Wang, Z., Sun, Y., Yuan, Z., Xu, T., & Li, J. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3415474 · Cited by 20 · see citing works

Brain-computer interface: a possible help for people with locked-in syndrome,

Nolte, A. (2021) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-030-72254-8_24 · Cited by 4 · see citing works

Spelling Checkers and Students with Learning Disabilities: Performance Comparisons and Impact on Spelling

MacArthur, C. A., Graham, S., Haynes, J. B., & DeLaPaz, S. (1996) · The Journal of Special Education · doi:10.1177/002246699603000103 · Cited by 109 · see citing works

The “How to” Guide to Spelling Assessment

Brimo, D. (2013) · Perspectives on Language Learning and Education · doi:10.1044/lle20.4.129 · Cited by 7 · see citing works

Does the Fonetik Spelling System improve Standard Spelling Scores?

Johnson, I. (2010) · Kairaranga · doi:10.54322/kairaranga.v10i1.141 · Cited by 1 · see citing works

The influence of spelling-checkers on students' ability to generate repairs of spelling errors / Hazelynn Rimbar

Rimbar, H. (2013) · UiTM Institutional Repositories (Universiti Teknologi MARA)

Does the Fonetik Spelling System improve Standard Spelling Scores?

Johnson, I. (2010) · Kairaranga · doi:10.54322/kairaranga.v11i1.287 · Cited by 1 · see citing works