Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays
Open accessAbstract
A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process BCI learning, and it often requires significant effort and time. Therefore, it is important to study this process and develop novel and efficient approaches to accelerate BCI learning. This article reviews major approaches that have been used for BCI learning, including computer-assisted learning, co-adaptive learning, operant conditioning, and sensory feedback. We focus on BCIs based on electrocorticography and intracortical microelectrode arrays for restoring motor function. This article also explores the possibility of brain modulation techniques in promoting BCI learning, such as electrical cortical stimulation, transcranial magnetic stimulation, and optogenetics. Furthermore, as proposed by recent BCI studies, we suggest that BCI learning is in many ways analogous to motor and cognitive skill learning, and therefore skill learning should be a useful metaphor to model BCI learning.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Co-adaptive interfaces have been proposed as a remedy and increasingly adopted and modeled as a training strategy.
“On the contrary, co-adaptive (a term we use interchangeably to mutual learning) interfaces, in which the capacities of both learning agents—the brain and the machine—are accommodated and coordinated, has been very early proposed as a remedy [18] and more recently increasingly adopted and modeled as a training strategy [19–21].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [19]
Evidence from invasive and semi-invasive BCI shows that learning and co-adaptation have been well documented.
“Another similar, overstated extrapolation regards evidence from invasive and semi-invasive BCI, where learning and co-adaptation have been well documented [19,23,24,57–59].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Flow: the psychology of optimal experience
(1990) · Choice Reviews Online · doi:10.5860/choice.28-0597 · Cited by 12,652 · see citing works
Ferster, C. B., & Skinner, B. F. (1957) · doi:10.1037/10627-000 · Cited by 4,894 · see citing works
Flow: The Psychology of Optimal Experience
Mirvis, P. H., & Csikszentmihalyi, M. (1991) · Academy of Management Review · doi:10.2307/258925 · Cited by 3,706 · see citing works
The Psychology of Everyday Things
Massaro, D. W., & Norman, D. A. (1990) · The American Journal of Psychology · doi:10.2307/1423268 · Cited by 3,475 · see citing works
Toward an instance theory of automatization.
Logan, G. D. (1988) · Psychological Review · doi:10.1037/0033-295x.95.4.492 · Cited by 3,466 · see citing works
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
Neuronal Population Coding of Movement Direction
Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986) · Science · doi:10.1126/science.3749885 · Cited by 3,187 · see citing works
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719 · see citing works
Neural simulation of action: a unifying mechanism for motor cognition.
Jeannerod, M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0832 · Cited by 2,563 · see citing works
The psychology of everyday things
Weld, D. S. (1989) · Artificial Intelligence · doi:10.1016/0004-3702(89)90083-0 · Cited by 2,118 · see citing works
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., & Muller, K.-R. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408441 · Cited by 2,080 · cited 1× · see citing works
“Research has demonstrated that visual feedback plays a key role in skill learning (Hinterberger et al., 2004; Abbott, 2006; Leeb et al., 2006; Blankertz et al., 2008; Barbero and Grosse-Wentrup, 2010).”
BackgroundMotor imagery and direct brain-computer communication
Pfurtscheller, G., & Neuper, C. (2001) · Proceedings of the IEEE · doi:10.1109/5.939829 · Cited by 1,990 · see citing works
Schell, J., & Schell, J. (2008) · CRC Press eBooks · doi:10.1201/9780080919171 · Cited by 1,902 · see citing works
High-performance neuroprosthetic control by an individual with tetraplegia
Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848 · see citing works
Self-citationLearning 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
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591 · see citing works
Direct Cortical Control of 3D Neuroprosthetic Devices
Taylor, D. M., Tillery, S. I. H., & Schwartz, A. B. (2002) · Science · doi:10.1126/science.1070291 · Cited by 1,542 · 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
Reis, J., Schambra, H. M., Cohen, L. G., Buch, E. R., Fritsch, B., Zarahn, E., Celnik, P. A., & Krakauer, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805413106 · Cited by 1,401 · see citing works
The mirror neuron system and the consequences of its dysfunction
Iacoboni, M., & Dapretto, M. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn2024 · Cited by 1,401 · see citing works
A brain–computer interface using electrocorticographic signals in humans
Leuthardt, E. C., Schalk, G., Wolpaw, J. R., Ojemann, J. G., & Moran, D. W. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/2/001 · Cited by 1,188 · see citing works
Brain–computer interfaces in neurological rehabilitation
Daly, J. J., & Wolpaw, J. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70223-0 · Cited by 1,149 · see citing works
Effects of non-invasive cortical stimulation on skilled motor function in chronic stroke
Hummel, F. C. (2005) · Brain · doi:10.1093/brain/awh369 · Cited by 1,112 · see citing works
Reorganization and plasticity in the adult brain during learning of motor skills
Doyon, J., & Benali, H. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.004 · Cited by 1,028 · see citing works
Brain–machine interface in chronic stroke rehabilitation: A controlled study
Ramos‐Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, Ö., Brasil, F. L., Liberati, G., Curado, M. R., García‐Cossio, E., Vyziotis, A., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23879 · Cited by 994 · see citing works
Activation of human primary motor cortex during action observation: A neuromagnetic study
Hari, R., Forss, N., Avikainen, S., Kirveskari, E., Salenius, S., & Rizzolatti, G. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.15061 · Cited by 957 · see citing works
Neural Circuits Underlying Imitation Learning of Hand Actions
Buccino, G., Vogt, S., Ritzl, A., Fink, G. R., Zilles, K., Freund, H.-J., & Rizzolatti, G. (2004) · Neuron · doi:10.1016/s0896-6273(04)00181-3 · Cited by 926 · see citing works
Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., Bazzocchi, M., & di Prampero, P. E. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-23-07688.1996 · Cited by 924 · see citing works
Mu and Beta Rhythm Topographies During Motor Imagery and Actual Movements
McFarland, D. J., Miner, L. A., Vaughan, T. M., & Wolpaw, J. R. (2000) · Brain Topography · doi:10.1023/a:1023437823106 · Cited by 865 · see citing works
Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke?
Hummel, F., & Cohen, L. (2006) · Lancet Neurology · doi:10.1016/s1474-4422(06)70525-7 · Cited by 858 · see citing works
Dynamic reorganization of striatal circuits during the acquisition and consolidation of a skill
Yin, H. H., Mulcare, S. P., Hilário, M. R. F., Clouse, E., Holloway, T., Davis, M. I., Hansson, A. C., Lovinger, D. M., & Costa, R. M. (2009) · Nature Neuroscience · doi:10.1038/nn.2261 · Cited by 818 · see citing works
Motor Cortical Representation of Speed and Direction During Reaching
Moran, D. W., & Schwartz, A. B. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.5.2676 · Cited by 813 · 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
Optogenetic investigation of neural circuits underlying brain disease in animal models
Tye, K. M., & Deisseroth, K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3171 · Cited by 745 · see citing works
Neural constraints on learning
Sadtler, P. T., Quick, K. M., Golub, M. D., Chase, S. M., Ryu, S. I., Tyler-Kabara, E. C., Yu, B. M., & Batista, A. P. (2014) · Nature · doi:10.1038/nature13665 · Cited by 713 · see citing works
Self-citationA high-performance brain–computer interface
Santhanam, G., Ryu, S. I., Yu, B. M., Afshar, A., & Shenoy, K. V. (2006) · Nature · doi:10.1038/nature04968 · Cited by 698 · see citing works
Sharma, N., Pomeroy, V. M., & Baron, J. (2006) · Stroke · doi:10.1161/01.str.0000226902.43357.fc · Cited by 697 · 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
Seger, C. A. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.115.2.163 · Cited by 661 · see citing works
Yu, B. M., Cunningham, J. P., Santhanam, G., Ryu, S. I., Shenoy, K. V., & Sahani, M. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90941.2008 · Cited by 659 · see citing works
Operant Conditioning of Cortical Unit Activity
Fetz, E. E. (1969) · Science · doi:10.1126/science.163.3870.955 · Cited by 631 · see citing works
Active tactile exploration using a brain–machine–brain interface
O’Doherty, J. E., Lebedev, M. A., Ifft, P. J., Zhuang, K. Z., Shokur, S., Bleuler, H., & Nicolelis, M. A. L. (2011) · Nature · doi:10.1038/nature10489 · Cited by 629 · see citing works
Cortical activity during motor execution, motor imagery, and imagery-based online feedback
Miller, K. J., Schalk, G., Fetz, E. E., den Nijs, M., Ojemann, J. G., & Rao, R. P. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913697107 · Cited by 622 · see citing works
Direct control of paralysed muscles by cortical neurons
Moritz, C. T., Perlmutter, S. I., & Fetz, E. E. (2008) · Nature · doi:10.1038/nature07418 · Cited by 602 · see citing works
Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke
Buch, E. R., Weber, C., Cohen, L. G., Braun, C., Dimyan, M. A., Ard, T. D., Mellinger, J., Carìa, A., Soekadar, S. R., Fourkas, A. D., et al. (2008) · Stroke · doi:10.1161/strokeaha.107.505313 · Cited by 596 · see citing works
Activity of striatal neurons reflects dynamic encoding and recoding of procedural memories
Barnes, T. D., Kubota, Y., Hu, D., Jin, D. Z., & Graybiel, A. M. (2005) · Nature · doi:10.1038/nature04053 · Cited by 595 · see citing works
Emergence of a stable cortical map for neuroprosthetic control
Ganguly, K., & Carmena, J. M. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000153 · Cited by 578 · see citing works
Remote Control of Behavior through Genetically Targeted Photostimulation of Neurons
Lima, S. Q., & Miesenböck, G. (2005) · Cell · doi:10.1016/j.cell.2005.02.004 · Cited by 562 · see citing works
Mental imaging of motor activity in humans
Jeannerod, M., & Frak, V. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)00038-0 · Cited by 561 · see citing works
Wodlinger, B., Downey, J. E., Tyler-Kabara, E. C., Schwartz, A. B., Boninger, M. L., & Collinger, J. L. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/016011 · Cited by 536 · see citing works
Self-citationDecoding two-dimensional movement trajectories using electrocorticographic signals in humans
Schalk, G., Kubanek, J., Miller, K. J., Anderson, N., Leuthardt, E. C., Ojemann, J. G., Limbrick, D. D., Moran, D. W., Gerhardt, L. A., & Wolpaw, J. R. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/012 · Cited by 527 · see citing works
VanLehn, K. A. (1996) · Annual Review of Psychology · doi:10.1146/annurev.psych.47.1.513 · Cited by 519 · see citing works
Towards a cure for BCI illiteracy
Vidaurre, C., & Blankertz, B. (2010) · Brain Topography · doi:10.1007/s10548-009-0121-6 · Cited by 501 · see citing works
Vector reconstruction from firing rates
Salinas, E., & Abbott, L. F. (1994) · Journal of Computational Neuroscience · doi:10.1007/bf00962720 · Cited by 485 · see citing works
Restoration of grasp following paralysis through brain-controlled stimulation of muscles
Ethier, C., Oby, E. R., Bauman, M. J., & Miller, L. E. (2012) · Nature · doi:10.1038/nature10987 · Cited by 485 · see citing works
Two-dimensional movement control using electrocorticographic signals in humans
Schalk, G., Miller, K. J., Anderson, N., Wilson, J. A., Smyth, M. D., Ojemann, J. G., Moran, D. W., Wolpaw, J. R., & Leuthardt, E. C. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/1/008 · Cited by 481 · see citing works
Müller, K., Tangermann, M., Dornhege, G., Krauledat, M., Curio, G., & Blankertz, B. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.09.022 · Cited by 475 · see citing works
Long-term motor cortex plasticity induced by an electronic neural implant
Andrew, J. O., Mavoori, J., & Fetz, E. E. (2006) · Nature · doi:10.1038/nature05226 · Cited by 454 · see citing works
Electroencephalographic (EEG) control of three-dimensional movement
McFarland, D. J., Sarnacki, W. A., & Wolpaw, J. R. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/3/036007 · Cited by 454 · see citing works
An MEG-based brain–computer interface (BCI)
Mellinger, J., Schalk, G., Braun, C., Preissl, H. T., Rosenstiel, W., Birbaumer, N., & Kübler, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.019 · Cited by 444 · see citing works
Brain-Computer Interfaces Using Electrocorticographic Signals
Schalk, G., & Leuthardt, E. C. (2011) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2011.2172408 · Cited by 427 · see citing works
Curran, E. (2003) · Brain and Cognition · doi:10.1016/s0278-2626(03)00036-8 · Cited by 417 · see citing works
Hand Movement Direction Decoded from MEG and EEG
Waldert, S., Preissl, H. T., Demandt, É., Braun, C., Birbaumer, N., Aertsen, A., & Mehring, C. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5171-07.2008 · Cited by 415 · see citing works
An Electrocorticographic Brain Interface in an Individual with Tetraplegia
Wang, W., Collinger, J. L., Degenhart, A. D., Tyler‐Kabara, E. C., Schwartz, A. B., Moran, D. W., Weber, D. J., Wodlinger, B., Vinjamuri, R. K., Ashmore, R. C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055344 · Cited by 396 · see citing works
Self-citationMirror neurons and mirror systems in monkeys and humans.
Fabbri-Destro, M., & Rizzolatti, G. (2008) · Physiology · doi:10.1152/physiol.00004.2008 · Cited by 392 · see citing works
Spatiotemporal Tuning of Motor Cortical Neurons for Hand Position and Velocity
Paninski, L., Fellows, M. R., Hatsopoulos, N. G., & Donoghue, J. P. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00587.2002 · Cited by 392 · see citing works
Dickey, M. D. (2006) · Educational Technology Research and Development · doi:10.1007/s11423-006-9004-7 · Cited by 389 · see citing works
Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
Koralek, A. C., Jin, X., Long, J. D., II, Costa, R. M., & Carmena, J. M. (2012) · Nature · doi:10.1038/nature10845 · Cited by 373 · see citing works
Restoring sensorimotor function through intracortical interfaces: progress and looming challenges
Bensmaia, S. J., & Miller, L. E. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3724 · Cited by 368 · see citing works
Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals
Bradberry, T. J., Gentili, R. J., & Contreras-Vidal, J. L. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6107-09.2010 · Cited by 361 · see citing works
Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkey
Chao (2010) · Frontiers in Neuroengineering · doi:10.3389/fneng.2010.00003 · Cited by 337 · see citing works
Restoring the sense of touch with a prosthetic hand through a brain interface
Tabot, G. A., Dammann, J. F., Berg, J. A., Tenore, F. V., Boback, J. L., Vogelstein, R. J., & Bensmaia, S. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221113110 · Cited by 320 · see citing works
Functional network reorganization during learning in a brain-computer interface paradigm
Jarosiewicz, B., Chase, S. M., Fraser, G. W., Velliste, M., Kass, R. E., & Schwartz, A. B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808113105 · Cited by 302 · see citing works
Bridging the Brain to the World: A Perspective on Neural Interface Systems
Donoghue, J. P. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.037 · Cited by 294 · see citing works
Congruent Activity during Action and Action Observation in Motor Cortex
Tkach, D. C., Reimer, J., & Hatsopoulos, N. G. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2895-07.2007 · Cited by 292 · see citing works
Primary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia
Truccolo, W., Friehs, G. M., Donoghue, J. P., & Hochberg, L. R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4415-07.2008 · Cited by 273 · see citing works
Romo, R., Hernández, A., Zainos, A., Brody, C. D., & Lemus, L. (2000) · Neuron · doi:10.1016/s0896-6273(00)81156-3 · Cited by 270 · see citing works
Volitional control of neural activity: implications for brain–computer interfaces
Fetz, E. E. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2006.127142 · Cited by 266 · see citing works
The Effects of Digital Anesthesia on Force Control Using a Precision Grip
Monzée, J., Lamarre, Y., & Smith, A. M. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00434.2001 · Cited by 266 · see citing works
Recursive Bayesian Decoding of Motor Cortical Signals by Particle Filtering
Brockwell, A., Rojas, A., & Kass, R. E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00438.2003 · Cited by 257 · see citing works
Electrocorticographic control of a prosthetic arm in paralyzed patients
Yanagisawa, T., Hirata, M., Saitoh, Y., Kishima, H., Matsushita, K., Goto, T., Fukuma, R., Yokoi, H., Kamitani, Y., & Yoshimine, T. (2012) · Annals of Neurology · doi:10.1002/ana.22613 · Cited by 256 · see citing works
Doud, A. J., Lucas, J. P., Pisansky, M. T., & He, B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026322 · Cited by 244 · see citing works
Motor imagery: never in your wildest dream
Crammond, D. J. (1997) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)30019-2 · Cited by 243 · see citing works
Macefield, V. G., Ross, C. H., & Johansson, R. S. (1996) · Experimental Brain Research · doi:10.1007/bf00242913 · Cited by 233 · see citing works
Neurons in primary motor cortex engaged during action observation
Dushanova, J., & Donoghue, J. P. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.07067.x · Cited by 225 · see citing works
Wolpaw, J. R. (2013) · Handbook of clinical neurology · doi:10.1016/b978-0-444-52901-5.00006-x · Cited by 222 · see citing works
Perry, A., & Bentin, S. (2009) · Brain Research · doi:10.1016/j.brainres.2009.05.059 · Cited by 211 · see citing works
Neural Interface Technology for Rehabilitation: Exploiting and Promoting Neuroplasticity
Wang, W., Collinger, J. L., Pérez, M. A., Tyler‐Kabara, E. C., Cohen, L. G., Birbaumer, N., Brose, S. W., Schwartz, A. B., Boninger, M. L., & Weber, D. J. (2009) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2009.07.003 · Cited by 208 · see citing works
Self-citationFrensch, P. A., & Rünger, D. (2003) · Current Directions in Psychological Science · doi:10.1111/1467-8721.01213 · Cited by 196 · see citing works
Horch, K., Meek, S., Taylor, T. G., & Hutchinson, D. T. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2162635 · Cited by 194 · see citing works
A multimodal brain-based feedback and communication system
Hinterberger, T., Neumann, N., Pham, M., Kübler, A., Grether, A., Hofmayer, N., Wilhelm, B., Flor, H., & Birbaumer, N. (2004) · Experimental Brain Research · doi:10.1007/s00221-003-1690-3 · Cited by 171 · see citing works
Brochier, T. G., Boudreau, M.-J., Paré, M., & Smith, A. M. (1999) · Experimental Brain Research · doi:10.1007/s002210050814 · Cited by 162 · see citing works
Distributed cortical adaptation during learning of a brain–computer interface task
Wander, J. D., Blakely, T., Miller, K. J., Weaver, K. E., Johnson, L. A., Olson, J. D., Fetz, E. E., Rao, R. P. N., & Ojemann, J. G. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1221127110 · Cited by 157 · see citing works
Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand
Acharya, S., Fifer, M. S., Benz, H. L., Crone, N. E., & Thakor, N. V. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/4/046002 · Cited by 151 · see citing works
Roles of Monkey Premotor Neuron Classes in Movement Preparation and Execution
Kaufman, M. T., Churchland, M. M., Santhanam, G., Yu, B. M., Afshar, A., Ryu, S. I., & Shenoy, K. V. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00231.2009 · Cited by 145 · see citing works
Motor Cortical Representation of Position and Velocity During Reaching
Wang, W., Chan, S. S., Heldman, D. A., & Moran, D. W. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01180.2006 · Cited by 145 · see citing works
Self-citationSENSORY SIGNALS IN NEURAL POPULATIONS UNDERLYING TACTILE PERCEPTION AND MANIPULATION
Goodwin, A. W., & Wheat, H. E. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131032 · Cited by 142 · see citing works
Invasive Cortical Stimulation to Promote Recovery of Function After Stroke
Plow, E. B., Carey, J. R., Nudo, R. J., & Pascual‐Leone, Á. (2009) · Stroke · doi:10.1161/strokeaha.108.540823 · Cited by 141 · see citing works
Pohlmeyer, E. A., Oby, E. R., Perreault, E. J., Solla, S. A., Kilgore, K. L., Kirsch, R. F., & Miller, L. E. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005924 · Cited by 137 · see citing works
Learning and Memory: From Brain to Behavior
Gluck, M. A., Mercado, E., & Myers, C. E. (2007) · Cited by 136 · see citing works
Mirror neurons and motor intentionality.
Rizzolatti, G., & Sinigaglia, C. (2007) · PubMed · Cited by 133 · see citing works
Chase, S. M., Kass, R. E., & Schwartz, A. B. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00371.2011 · Cited by 127 · see citing works
Interhemispheric inhibition between primary motor cortices: what have we learned?
Pérez, M. A., & Cohen, L. G. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.166926 · Cited by 124 · see citing works
Optogenetics and Translational Medicine
Chow, B. Y., & Boyden, E. S. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3003101 · Cited by 124 · see citing works
Predicting BCI performance to study BCI illiteracy
Dickhaus, T., Sannelli, C., Müller, K., Curio, G., & Blankertz, B. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-s1-p84 · Cited by 120 · see citing works
Local field potential spectral tuning in motor cortex during reaching
Heldman, D. A., Wang, W., Chan, S. S., & Moran, D. W. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875549 · Cited by 120 · see citing works
Self-citationEngelhard, B., Ozeri-Engelhard, N., Israel, Z. H., Bergman, H., & Vaadia, E. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.015 · Cited by 116 · see citing works
Dynamic Encoding of Action Selection by the Medial Striatum
Kimchi, E. Y., & Laubach, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5206-08.2009 · Cited by 114 · see citing works
Dynamic Modulation of Human Motor Activity When Observing Actions
Press, C., Cook, J. L., Blakemore, S., & Kilner, J. M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1595-10.2011 · Cited by 112 · see citing works
Johnson, L., Wander, J. D., Sarma, D., Su, D. K., Fetz, E. E., & Ojemann, J. G. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/3/036021 · Cited by 111 · see citing works
Biased feedback in brain-computer interfaces
Barbero, Á., & Grosse‐Wentrup, M. (2010) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-7-34 · Cited by 111 · see citing works
Naïve coadaptive cortical control
Gage, G. J., Ludwig, K. A., Otto, K. J., Ionides, E. L., & Kipke, D. R. (2005) · Journal of Neural Engineering · doi:10.1088/1741-2560/2/2/006 · Cited by 110 · see citing works
The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States
Blankertz, B., Dornhege, G., Krauledat, M., Kunzmann, V., Losch, F., Curio, G., & Müller, K.-R. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.003.0008 · Cited by 109 · see citing works
Wessberg, J., & Nicolelis, M. A. L. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041502652 · Cited by 105 · see citing works
Moran, D. W. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.09.010 · Cited by 103 · see citing works
Weber, D. J., London, B. M., Hokanson, J., Ayers, C. A., Gaunt, R. A., Torres, R. R., Zaaimi, B., & Miller, L. E. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2163145 · Cited by 102 · see citing works
Walking by Thinking: The Brainwaves Are Crucial, Not the Muscles!
Leeb, R., Keinrath, C., Friedman, D. A., Guger, C., Scherer, R., Neuper, C., Garau, M., Antley, A., Steed, A. J., Slater, M., et al. (2006) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres.15.5.500 · Cited by 99 · see citing works
Interfacing the Somatosensory System to Restore Touch and Proprioception: Essential Considerations
Weber, D. J., Friesen, R., & Miller, L. E. (2012) · Journal of Motor Behavior · doi:10.1080/00222895.2012.735283 · Cited by 98 · see citing works
Shimoda, K., Nagasaka, Y., Chao, Z. C., & Fujii, N. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/3/036015 · Cited by 97 · see citing works
Answering questions with an electroencephalogram-based brain-computer interface
Miner, L. A., McFarland, D. J., & Wolpaw, J. R. (1998) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/s0003-9993(98)90165-4 · Cited by 85 · see citing works
Wei, P., He, W., Zhou, Y., & Wang, L. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2249111 · Cited by 82 · see citing works
Cortical Adaptation to a Chronic Micro-Electrocorticographic Brain Computer Interface
Rouse, A. G., Williams, J. J., Wheeler, J. J., & Moran, D. W. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0271-12.2013 · Cited by 75 · see citing works
Abbott, A. (2006) · Nature · doi:10.1038/442125a · Cited by 73 · see citing works
Tillery, S. I. H., Taylor, D. M., & Schwartz, A. B. (2003) · Reviews in the Neurosciences · doi:10.1515/revneuro.2003.14.1-2.107 · Cited by 72 · see citing works
Decoding and Cortical Source Localization for Intended Movement Direction With MEG
Wang, W., Sudre, G. P., Xu, Y., Kass, R. E., Collinger, J. L., Degenhart, A. D., Bagic, A. I., & Weber, D. J. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00239.2010 · Cited by 71 · see citing works
Self-citationFunctional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
Stevenson, I. H., London, B. M., Oby, E. R., Sachs, N. A., Reimer, J., Englitz, B., David, S. V., Shamma, S., Blanche, T. J., Mizuseki, K., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002775 · Cited by 71 · see citing works
Collinger, J. L., Kryger, M. A., Barbara, R., Betler, T., Bowsher, K., Brown, E. H. P., Clanton, S. T., Degenhart, A. D., Foldes, S. T., Gaunt, R. A., et al. (2014) · Clinical and Translational Science · doi:10.1111/cts.12086 · Cited by 68 · see citing works
Self-citationBoe, S. G., Gionfriddo, A., Kraeutner, S. N., Tremblay, A., Little, G. E., & Bardouille, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.066 · Cited by 64 · see citing works
Reorganization and plasticity in the adult brain during learning of motor skills
Doyon, J., & Benali, H. (2006) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2005.1556102 · Cited by 63 · see citing works
Arduin, P.-J., Frégnac, Y., Shulz, D. E., & Ego‐Stengel, V. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2744-12.2013 · Cited by 60 · see citing works
Enhancing Hebbian Learning to Control Brain Oscillatory Activity
Soekadar, S. R., Witkowski, M., Birbaumer, N., & Cohen, L. G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu043 · Cited by 57 · see citing works
Observation-based learning for brain–machine interfaces
Tkach, D. C., Reimer, J., & Hatsopoulos, N. G. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.09.016 · Cited by 54 · see citing works
rtMEG: A Real-Time Software Interface for Magnetoencephalography
Sudre, G. P., Parkkonen, L. T., Bock, E. A., Baillet, S., Wang, W., & Weber, D. J. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/327953 · Cited by 54 · see citing works
Self-citationMulti-electrode stimulation in somatosensory cortex increases probability of detection
Zaaimi, B., Ruiz-Torres, R., Solla, S. A., & Miller, L. E. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056013 · Cited by 51 · see citing works
Stimulation-Induced Within-Representation and Across-Representation Plasticity in Human Motor Cortex
Ziemann, U., Wittenberg, G. F., & Cohen, L. G. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-13-05563.2002 · Cited by 50 · see citing works
Neural Correlates of Skill Acquisition with a Cortical Brain–Machine Interface
Ganguly, K., & Carmena, J. M. (2010) · Journal of Motor Behavior · doi:10.1080/00222895.2010.526457 · Cited by 49 · see citing works
Harvey, R. L., & Nudo, R. J. (2007) · Topics in Stroke Rehabilitation · doi:10.1310/tsr1406-54 · Cited by 49 · see citing works
Neumann, N., Hinterberger, T., Kaiser, J., Leins, U., Birbaumer, N., & Kübler, A. (2003) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.10.030 · Cited by 49 · see citing works
Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants
Sanchez, J. C., Mahmoudi, B., DiGiovanna, J., & Príncipe, J. C. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.03.015 · Cited by 47 · see citing works
Kaplan, A., Byeon, J.-G., Lim, J.-J., Jin, K.-S., PARK, B.-W., & TARASOVA, S. U. (2005) · International Journal of Neuroscience · doi:10.1080/00207450590881975 · Cited by 42 · see citing works
Prediction of Hand Trajectory from Electrocorticography Signals in Primary Motor Cortex
Chen, C., Shin, D., Watanabe, H., Nakanishi, Y., Kambara, H., Yoshimura, N., Nambu, A., Isa, T., Nishimura, Y., & Koike, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083534 · Cited by 41 · see citing works
Targeted reinforcement of neural oscillatory activity with real-time neuroimaging feedback
Florin, E., Bock, E. A., & Baillet, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.028 · Cited by 39 · see citing works
Motor Cortical Representation of Hand Translation and Rotation during Reaching
Wang, W., Chan, S. S., Heldman, D. A., & Moran, D. W. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3742-09.2010 · Cited by 38 · see citing works
Self-citationCollinger, J. L., Vinjamuri, R. K., Degenhart, A. D., Weber, D. J., Sudre, G. P., Boninger, M. L., Tyler‐Kabara, E. C., & Wang, W. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00017 · Cited by 26 · see citing works
Self-citationInference from populations: going beyond models
Chase, S. M., & Schwartz, A. B. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53355-5.00007-5 · Cited by 16 · see citing works
Speaking and cognitive distractions during EEG-based brain control of a virtual neuroprosthesis-arm
Foldes, S. T., & Taylor, D. M. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-116 · Cited by 16 · see citing works
Self-citationFoldes, S. T., & Taylor, D. M. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/046022 · Cited by 13 · see citing works
Self-citationMiller, L. E., & Weber, D. J. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2168989 · Cited by 11 · see citing works
Bayesian learning in assisted brain-computer interface tasks
Zhang⋆, Y., Schwartz, A. B., Chase, S. M., & Kass, R. E. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346531 · Cited by 8 · see citing works
Christel, M. G., Stevens, S., Champer, M., Balash, J., Brice, S., Maher, B. S., Hausmann, D., Bastida, N., Bhargava, C., Huo, W., et al. (2013) · IEEE International Games Innovation Conference (IGIC) · doi:10.1109/igic.2013.6659126 · Cited by 8 · see citing works
Tingstrom, D. H., & Moore, J. W. (2005) · Encyclopedia of School Psychology · doi:10.4135/9781412952491.n249 · Cited by 5 · see citing works
(2014) · Institutional Repository University of Antioquia (University of Antioquia) · doi:10.1371/journal.pone
Flagged first, then by citations
2 of the 154 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Blankertz B. Sanelli C. Halder S. Hammer E.-M. Kübler A. Müller K. R. Curio G. (2009). “ Predicting BCI performance to study BCI illiteracy,” in 7th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and International Conference on Bioelectromagnetism (Rome, Italy: Sapienza University of Rome).
Cited by
Sorted by citations
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Kawala‐Sterniuk, A., Browarska, N., Al‐Bakri, A. F., Pelc, M., Zygarlicki, J., Šidiková, M., Martínek, R., & Gorzelańczyk, E. J. (2021) · Brain Sciences · doi:10.3390/brainsci11010043 · Cited by 303 · see citing works
Homecare robotic systems for healthcare 4.0: visions and enabling technologies
Yang, G., Pang, Z., Jamal Deen, M., Dong, M., Zhang, Y.-T., Lovell, N., & Rahmani, A. M. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2990529 · Cited by 213 · 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
Decoding Covert Speech From EEG-A Comprehensive Review
Panachakel, J. T., & Ramakrishnan, A. G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.642251 · Cited by 156 · see citing works
Quitadamo, L. R., Cavrini, F., Sbernini, L., Riillo, F., Bianchi, L., Seri, S., & Saggio, G. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/14/1/011001 · Cited by 140 · see citing works
Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review
Palumbo, A., Gramigna, V., Calabrese, B., & Ielpo, N. (2021) · Sensors · doi:10.3390/s21186285 · Cited by 125 · see citing works
Noninvasive Brain–Machine Interfaces for Robotic Devices
Tonin, L., & Millán, J. D. R. (2020) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-012720-093904 · Cited by 66 · see citing works
A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
Chu, Y., Zhao, X., Zou, Y., Xu, W., Han, J., & Zhao, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00680 · Cited by 63 · see citing works
Engineered Axonal Tracts as “Living Electrodes” for Synaptic‐Based Modulation of Neural Circuitry
Serruya, M. D., Harris, J. P., Adewole, D. O., Struzyna, L. A., Burrell, J. C., Nemes, A. D., Petrov, D., Kraft, R. H., Chen, H.-C. I., Wolf, J. A., et al. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201701183 · Cited by 60 · see citing works
Network-based brain–computer interfaces: principles and applications
Gonzalez-Astudillo, J., Cattai, T., Bassignana, G., Corsi, M., & Fallani, F. D. V. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abc760 · Cited by 53 · see citing works
Matsushita, K., Hirata, M., Suzuki, T., Ando, H., Yoshida, T., Ota, Y., Satō, F., Morris, S., Sugata, H., Goto, T., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00511 · Cited by 46 · see citing works
Optogenetic Approaches to Target Specific Neural Circuits in Post-stroke Recovery
Cheng, M., Aswendt, M., & Steinberg, G. K. (2015) · Neurotherapeutics · doi:10.1007/s13311-015-0411-5 · Cited by 43 · see citing works
Darvishi, S., Gharabaghi, A., Boulay, C., Ridding, M. C., Abbott, D., & Baumert, M. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00060 · Cited by 42 · see citing works
Pinotsis, D. A., Geerts, J. P., Pinto, L., FitzGerald, T. H. B., Vladimir Litvak, A., Auksztulewicz, R., & Friston, K. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.041 · Cited by 38 · see citing works
Kinney‐Lang, E., Bonnie Auyeung, B., & Escudero, J. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/061002 · Cited by 33 · see citing works
Kato, K. H., Takahashi, K., Mizuguchi, N., & Ushiba, J. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.10.015 · Cited by 25 · see citing works
A multi-modal modified feedback self-paced BCI to control the gait of an avatar
Alchalabi, B., Faubert, J., & Labbé, D. R. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abee51 · Cited by 25 · see citing works
Neuroprosthetics in amputee and brain injury rehabilitation
Eapen, B. C., Murphy, D. P., & Cifu, D. X. (2016) · Experimental Neurology · doi:10.1016/j.expneurol.2016.08.004 · Cited by 23 · see citing works
Neural correlates of user learning during long-term BCI training for the Cybathlon competition
Tortora, S., Beraldo, G., Bettella, F., Formaggio, E., Rubega, M., Felice, A. D., Masiero, S., Ruggero Carli, A., Petrone, N., Menegatti, E., et al. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01047-x · Cited by 23 · see citing works
BCI Use and Its Relation to Adaptation in Cortical Networks
Casimo, K., Weaver, K. E., Wander, J. D., & Ojemann, J. G. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2681963 · Cited by 21 · see citing works
Telling autonomous systems what to do
Werkhoven, P., Kester, L., & Neerincx, M. (2018) · Proceedings of the 36th European Conference on Cognitive Ergonomics · doi:10.1145/3232078.3232238 · Cited by 19 · see citing works
Kim, Y. J., Nam, H. S., Lee, W. H., Seo, H. G., Leigh, J., Oh, B., Bang, M. S., & Kim, S. (2019) · BioMedical Engineering OnLine · doi:10.1186/s12938-019-0633-6 · Cited by 19 · see citing works
Ethical Challenges of Using Artificial Intelligence in Judiciary
John, A. M., Aiswarya, M. U., & Panachakel, J. T. (2023) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine58569.2023.10405688 · Cited by 17 · see citing works
Innovations in Electrical Stimulation Harness Neural Plasticity to Restore Motor Function
Peng, X., Hickman, J. L., Bowles, S. G., Donegan, D., & Welle, C. G. (2018) · Bioelectronics in Medicine · doi:10.2217/bem-2019-0002 · Cited by 13 · see citing works
Yan, T., Kameda, S., Suzuki, K., Kaiju, T., Inoue, M., Suzuki, T., & Hirata, M. (2020) · Sensors · doi:10.3390/s21010178 · Cited by 13 · see citing works
Hernández-González, S., Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-Garcia, J. M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3651-16.2017 · Cited by 13 · see citing works
Ivanov, N., & Chau, T. T. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1108889 · Cited by 12 · see citing works
Rezaei, M., Seifzadeh, S., Karim Faez, A., & Amiri, M. (2017) · Journal of Medical Signals & Sensors · doi:10.4103/2228-7477.205593 · Cited by 11 · see citing works
GrameStation: Specifying Games with Graphs
da Silva, B. A., Cavalheiro, S. A. D. C., & Foss, L. (2021) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/sbie.2021.218639 · Cited by 9 · see citing works
Yan, T., Suzuki, K., Kameda, S., Kuratomi, T., Mihara, M., Maeda, M., & Hirata, M. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3210286 · Cited by 9 · see citing works
Neuroprostheses: Significance in Gait Rehabilitation
Gutiérrez-Martínez, J. (2018) · Biosystems & biorobotics · doi:10.1007/978-3-319-72736-3_29 · Cited by 8 · see citing works
The BCI Glossary: a first proposal for a community review
Antonietti, A., Balachandran, P., Hossaini, A., Hu, Y., & Valeriani, D. (2021) · Brain-Computer Interfaces · doi:10.1080/2326263x.2021.1969789 · Cited by 7 · see citing works
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks
Corsi, M., Chávez, M., Schwartz, D., George, N., Hugueville, L., Kahn, A. E., Dupont, S., Bassett, D. S., & Fallani, F. D. V. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abef39 · Cited by 7 · see citing works
Dong, F., Wu, L., Feng, Y., & Liang, D. (2022) · Journal of Medical Devices · doi:10.1115/1.4055435 · Cited by 6 · see citing works
DeepSyncNet:Deep synchronized fusion network for EEG-fNIRS multimodal brain-computer interfaces
Li, H. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.109100 · Cited by 4 · see citing works
Marin, I. (2020) · ICERI proceedings · doi:10.21125/iceri.2020.1680 · Cited by 4 · see citing works
Aamir, A., & Siddiqui, M. (2025) · World Journal of Urology · doi:10.1007/s00345-025-05683-5 · Cited by 3 · see citing works
Description of motor control using inverse models
Sobinov, A. R. (2019) · doi:10.33915/etd.4073 · Cited by 3 · see citing works
Strengthening the GABAergic System Through Neurofeedback Training Suppresses Implicit Motor Learning
Gyoda, T., Nojima, I., Lin, S.-C., Koganemaru, S., Mima, T., Tanabe, S., & Huang, Y. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.02.002 · Cited by 2 · see citing works
Ivanov, N., & Chau, T. T. (2024) · Brain-Apparatus Communication A Journal of Bacomics · doi:10.1080/27706710.2024.2366193 · Cited by 2 · see citing works
Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Liu, D. H., Iwane, F., Zhang, M., Cohen, L. G., & Millán, J. D. R. (2026) · Advanced Science · doi:10.1002/advs.76153 · Cited by 2 · see citing works
Brain-Controlled Robot Enables the Paraplegic Implement Autonomous Multimode Walk Training
Wang, W., Lin, T., Xiang, K., Liang, X., Zhang, C., Lv, Z., Ren, S., Jing, Y., Wang, J., Shi, W., et al. (2025) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2025.3584408 · Cited by 1 · see citing works
Self-citationThakur, S., Thakur, S., Rana, A., Kumar, P., & Das, A. K. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2602691 · Cited by 1 · see citing works
Brain-Computer Interfaces for Motor Rehabilitation
Rupp, R. (2018) · Springer eBooks · doi:10.1007/978-3-319-14418-4_67 · Cited by 1 · see citing works
Rashid, N., Iqbal, J., Khan, U. S., Tiwana, M. I., & Hamza, A. (2020) · Journal of Engineering and Applied Sciences , University of Engineering and Technology, Peshawar · doi:10.17582/journal.jeas/39.1.116.126 · Cited by 1 · see citing works
Brain-Computer Interfaces for Motor Rehabilitation
Rupp, R. (2017) · Springer eBooks · doi:10.1007/978-3-319-30808-1_67-1 · Cited by 1 · see citing works
State of the Art and Future Prospects of Nanotechnologies in the Field of Brain-Computer Interfaces
Athanasiou, A., Klados, M. A., Astaras, A., Foroglou, N., Magras, I., & Bamidis, P. D. (2016) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-32703-7_90
Conditioned Standard BCI CODEC – A theoretical proposal
Pankovski, T. (2018) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2018.04.004
Marin, I. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.00472
Generic BCI Classifiers for Discrimination of Motor Imagery of Left/Right Steps and Forward Walking
Alchalabi, B., Faubert, J., & Labbé, D. R. (2021) · International Winter Conference on Brain-Computer Interface (BCI) · doi:10.1109/bci51272.2021.9385324
Nano-Neurosurgery: Nanoparticle-Guided Strategies
Muhammad, P., Hanif, S., Ieva, A. D., & Shi, B. (2024) · Springer eBooks · doi:10.1007/978-3-030-80662-0_44
Shalabny, N., Saleh, M. A., Snezhko, A., Vatine, G. D., & Ben‐Yoav, H. (2025) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2025.100894
- Authors
- Hiremath, S. V., Chen, W., Wang, W., Foldes, S., Yang, Y., Tyler-Kabara, E. C., Collinger, J. L., & Boninger, M. L.
- Affiliations
- United States Department of Veterans Affairs (US)
- University of Pittsburgh (US)
- Corresponding author
- Wang, Wei
- ORCID
- Venue
- Frontiers in Integrative Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-06-10
- Volume
- 9
- Pages
- 40-40
- ISSN
- 1662-5145 (ISSN-L)
- PMC
- PMC4462099
- OpenAlex
- W1558497503
- Cited by
- 53
- References
- 154
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 9 · 2020: 7 · 2019: 2 · 2018: 8 · 2017: 8 · 2016: 4 · 2015: 1
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Integrative Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- TUScholarShare (Temple University) (submittedVersion, cc-by)
- Funders
- Office of Research and Development
- University of Pittsburgh
- National Institutes of Health (UL1TR000005, KL2TR000146, 3r01ns050256-05s1)
- Rehabilitation Research and Development Service
- Medical Center, University of Pittsburgh
- National Institute on Aging (P30AG024827)
- National Institute of Neurological Disorders and Stroke (R01-NS050256)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- electrocorticography, intracortical microelectrode arrays, motor recovery, computer-assisted instruction, operant conditioning, sensory feedback, brain modulation, cortical electrical stimulation, transcranial magnetic stimulation, optogenetics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
