Advances in Neuroprosthetic Learning and Control

Millisecond-timescale, genetically targeted optical control of neural activity

Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 4,831 · 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

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

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

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

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

Instant neural control of a movement signal

Serruya, M. D., Hatsopoulos, N. G., Paninski, L., Fellows, M. R., & Donoghue, J. P. (2002) · Nature · doi:10.1038/416141a · Cited by 1,415 · 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

Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

Chapin, J. K., Moxon, K. A., Markowitz, R. S., & Nicolelis, M. A. L. (1999) · Nature Neuroscience · doi:10.1038/10223 · Cited by 1,168 · see citing works

A 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

Cognitive Control Signals for Neural Prosthetics

Musallam, S., Corneil, B. D., Greger, B., Scherberger, H., & Andersen, R. A. (2004) · Science · doi:10.1126/science.1097938 · Cited by 663 · 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

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

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

A high-performance neural prosthesis enabled by control algorithm design

Gilja, V., Nuyujukian, P., Chestek, C. A., Cunningham, J. P., Yu, B. M., Fan, J. M., Churchland, M. M., Kaufman, M. T., Kao, J. C., Ryu, S. I., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3265 · Cited by 564 · 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

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

Comprehensive characterization and failure modes of tungsten microwire arrays in chronic neural implants

Prasad, A., Xue, Q.-S., Sankar, V., Nishida, T., Shaw, G., Streit, W. J., & Sanchez, J. C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/5/056015 · Cited by 298 · 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

Reversible large-scale modification of cortical networks during neuroprosthetic control

Ganguly, K., Dimitrov, D. F., Wallis, J. D., & Carmena, J. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2797 · Cited by 259 · see citing works

A Glucose Fuel Cell for Implantable Brain–Machine Interfaces

Rapoport, B. I., Kedzierski, J. T., & Sarpeshkar, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038436 · Cited by 244 · see citing works

Incorporating Feedback from Multiple Sensory Modalities Enhances Brain–Machine Interface Control

Suminski, A. J., Tkach, D. C., Fagg, A. H., & Hatsopoulos, N. G. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3967-10.2010 · Cited by 232 · see citing works

Closed-Loop Decoder Adaptation on Intermediate Time-Scales Facilitates Rapid BMI Performance Improvements Independent of Decoder Initialization Conditions

Orsborn, A. L., Dangi, S., Moorman, H. G., & Carmena, J. M. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2185066 · Cited by 171 · see citing works

Adaptive Decoding for Brain-Machine Interfaces Through Bayesian Parameter Updates

Li, Z., O’Doherty, J. E., Lebedev, M., & Nicolelis, M. A. L. (2011) · Neural Computation · doi:10.1162/neco_a_00207 · Cited by 129 · 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

Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces

Dangi, S., Orsborn, A. L., Moorman, H. G., & Carmena, J. M. (2013) · Neural Computation · doi:10.1162/neco_a_00460 · Cited by 103 · see citing works

A Symbiotic Brain-Machine Interface through Value-Based Decision Making

Mahmoudi, B., & Sanchez, J. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014760 · Cited by 88 · see citing works

Active sensing of target location encoded by cortical microstimulation

Venkatraman, S., & Carmena, J. M. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2117441 · Cited by 66 · see citing works

Using ipsilateral motor signals in the unaffected cerebral hemisphere as a signal platform for brain–computer interfaces in hemiplegic stroke survivors

Bundy, D. T., Wronkiewicz, M., Sharma, M., Moran, D. W., Corbetta, M., & Leuthardt, E. C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/3/036011 · Cited by 64 · see citing works

Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control

Shpigelman, L., Lalazar, H., & Vaadia, E. (2008) · Cited by 60 · see citing works

Interfacing With the Computational Brain

Andrew, J. O., & Fetz, E. E. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2158586 · Cited by 54 · 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

Monkey models for brain-machine interfaces: The need for maintaining diversity

Nuyujukian, P., Fan, J. M., Gilja, V., Kalanithi, P. S. A., Chestek, C. A., & Shenoy, K. V. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090306 · Cited by 26 · see citing works

Skilled hindlimb reaching task in rats as a platform for a brain-machine interface to restore motor function after complete spinal cord injury

Knudsen, E. B., Moxon, K. A., Sturgis, E. B., et al. (2011) · doi:10.1109/iembs.2011.6091558 · Cited by 7 · see citing works

Closed-Loop Decoder Adaptation Shapes Neural Plasticity for Skillful Neuroprosthetic Control

Orsborn, A. L., Moorman, H. G., Overduin, S. A., Shanechi, M. M., Dimitrov, D. F., & Carmena, J. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.048 · Cited by 280 · 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

Clinical applications of penetrating neural interfaces and Utah Electrode Array technologies

Normann, R. A., & Fernandez, E. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/061003 · Cited by 135 · see citing works

Context-aware adaptive spelling in motor imagery BCI

Perdikis, S., Leeb, R., & Millán, J. D. R. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/036018 · Cited by 49 · see citing works

Brain-Machine Interfaces: The Perception-Action Closed Loop: A Two-Learner System

Millan, J. D. R. (2015) · IEEE Systems, Man, and Cybernetics Magazine · doi:10.1109/msmc.2014.2386901 · Cited by 19 · see citing works

BCI and FES Training of a Spinal Cord Injured End-User to Control a Neuroprosthesis

Kreilinger, A., Kaiser, V., Rohm, M., Rupp, R., & Muller-Putz, G. R. (2013) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2013-4443 · Cited by 25 · 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

Neural prosthesis in rehabilitation

Gupta, M., Bhatia, D., & Kumar, P. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99124-7.00006-7

Neural electrodes for long-term tissue interfaces

del Valle, J., Rodríguez‐Meana, B., & Navarro, X. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822828-9.00009-5 · Cited by 2 · see citing works

The Development of an Electroencephalography (EEG)-Derived, 3D-Printed Brain-Computer Interface (BCI) NeuroProsthesis Utilizing Machine Learning for Chronic ImpairmentPreprint

Rajan, T., & Valliath, J. D. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3274806