Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface
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Individuals with tetraplegia are able to type self-paced for hours across multiple days using a self-calibrating point-and-click intracortical brain-computer interface.
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Earlier intracortical studies found that after paralysis, motor cortex still encodes intended reaching, grasping, and cursor movements.
“Prior BCI studies have shown that the motor intention for gross motor skills, such as reaching, grasping or moving a computer cursor, remains neurally encoded in motor cortex after paralysis1–7.”
From High-performance brain-to-text communication via handwriting (2021) · cites this paper as [6]
Differences in average firing rates observed between two behaviors collected in separate blocks could be due to spurious drifts in firing rates known to occur across time.
“any differences in average firing rates observed between two behaviors collected in separate blocks could be due to spurious drifts in firing rates known to occur across time63,64.”
From Inner speech in motor cortex and implications for speech neuroprostheses (2025) · cites this paper as [63]
The isolated verbal behavior experiments did not allow assessment of differences in neural representation between behaviors because differences between blocks could also be caused by spurious neural nonstationarity known to occur in microelectrode array recordings.
“While the ‘isolated ’verbal behavior experiments (section 3) allowed us to explore a large number of behaviors, it did not allow us to assess differences in neural representation between behaviors, because any differences between blocks could also be caused by spurious neural nonstationarity known to be occur in microelectrode array recordings63,64.”
From Inner speech in motor cortex and implications for speech neuroprostheses (2025) · cites this paper as [63]
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Cites
Isolated Hand Paresis: A Case Series
Alstadhaug, K. B., & Sjulstad, A. S. (2013) · Cerebrovascular Diseases Extra · doi:10.1159/000350708 · Cited by 4,090 · 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
Self-citationReach 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
Self-citationHigh-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
Localization of the motor hand area to a knob on the precentral gyrus. A new landmark
Yousry, T. A. (1997) · Brain · doi:10.1093/brain/120.1.141 · Cited by 1,840 · 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
Brain–Computer InterfacesPrinciples and Practice
Wolpaw, J. R., & Wolpaw, E. W. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195388855.001.0001 · Cited by 1,114 · see citing works
ERD/ERS patterns reflecting sensorimotor activation and deactivation
Neuper, C., Woertz, M., & Pfurtscheller, G. (2006) · Progress in brain research · doi:10.1016/s0079-6123(06)59014-4 · Cited by 822 · see citing works
Spectral Changes in Cortical Surface Potentials during Motor Movement
Miller, K. J., Leuthardt, E. C., Schalk, G., Rao, R. P. N., Anderson, N., Moran, D. W., Miller, J. W., & Ojemann, J. G. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3886-06.2007 · Cited by 743 · see citing works
Decoding motor imagery from the posterior parietal cortex of a tetraplegic human
Aflalo, T., Kellis, S., Klaes, C., Lee, B., Shi, Y., Pejsa, K., Shanfield, K., Hayes-Jackson, S., Aisen, M., Heck, C., et al. (2015) · Science · doi:10.1126/science.aaa5417 · Cited by 649 · 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
Self-citationSimeral, 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
Self-citationRestoration 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
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
Wu, W. L., Gao, Y., Bienenstock, E., Donoghue, J. P., & Black, M. J. (2005) · Neural Computation · doi:10.1162/089976606774841585 · Cited by 460 · see citing works
Self-citationUsing a Common Average Reference to Improve Cortical Neuron Recordings From Microelectrode Arrays
Ludwig, K. A., Miriani, R. M., Langhals, N. B., Joseph, M. D., Anderson, D. J., & Kipke, D. R. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90989.2008 · Cited by 410 · see citing works
Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., & Black, M. J. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/4/010 · Cited by 399 · see citing works
Self-citationChestek, C. A., Gilja, V., Nuyujukian, P., Foster, J. D., Fan, J. M., Kaufman, M. T., Churchland, M. M., Rivera-Alvidrez, Z., Cunningham, J. P., Ryu, S. I., et al. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/045005 · Cited by 350 · see citing works
Self-citationClinical translation of a high-performance neural prosthesis
Gilja, V., Pandarinath, C., Blabe, C. H., Nuyujukian, P., Simeral, J. D., Sarma, A. A., Sorice, B. L., Perge, J. A., Jarosiewicz, B., Hochberg, L. R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3953 · Cited by 343 · see citing works
Self-citationFunctional 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
Self-citationPrimary 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
Self-citationPerge, J. A., Homer, M. L., Malik, W. Q., Cash, S., Eskandar, E., Friehs, G., Donoghue, J. P., & Hochberg, L. R. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/3/036004 · Cited by 243 · see citing works
Self-citationFlint, R. D., Wright, Z. A., Scheid, M. R., & Slutzky, M. W. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056005 · Cited by 180 · see citing works
Control of a brain–computer interface without spike sorting
Fraser, G. W., Chase, S. M., Whitford, A. S., & Schwartz, A. B. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/5/055004 · Cited by 168 · see citing works
Comparison of brain–computer interface decoding algorithms in open-loop and closed-loop control
Koyama, S., Chase, S. M., Whitford, A. S., Velliste, M., Schwartz, A. B., & Kass, R. E. (2009) · Journal of Computational Neuroscience · doi:10.1007/s10827-009-0196-9 · Cited by 164 · see citing works
Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., Friehs, G. M., & Black, M. J. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2107750 · Cited by 160 · see citing works
Self-citationHermesB: A Continuous Neural Recording System for Freely Behaving Primates
Santhanam, G., Linderman, M. D., Gilja, V., Afshar, A., Ryu, S. I., Meng, T. H. Y., & Shenoy, K. V. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895753 · Cited by 134 · see citing works
Self-citationTextbook of Neural Repair and Rehabilitation
(2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511545061 · Cited by 124 · see citing works
Neural Point-and-Click Communication by a Person With Incomplete Locked-In Syndrome
Bacher, D., Jarosiewicz, B., Masse, N. Y., Stavisky, S. D., Simeral, J. D., Newell, K., Oakley, E. M., Cash, S. S., Friehs, G. M., & Hochberg, L. R. (2014) · Neurorehabilitation and neural repair · doi:10.1177/1545968314554624 · Cited by 123 · see citing works
Self-citationFactor-Analysis Methods for Higher-Performance Neural Prostheses
Santhanam, G., Yu, B. M., Gilja, V., Ryu, S. I., Afshar, A., Sahani, M., & Shenoy, K. V. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00097.2009 · Cited by 117 · see citing works
Self-citationContinuous neuronal ensemble control of simulated arm reaching by a human with tetraplegia
Chadwick, E. K., Blana, D., Simeral, J. D., Lambrecht, J. M., Kim, S. P., Cornwell, A. S., Taylor, D. M., Hochberg, L. R., Donoghue, J. P., & Kirsch, R. F. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/034003 · Cited by 109 · see citing works
Self-citationJarosiewicz, B., Masse, N. Y., Bacher, D., Cash, S. S., Eskandar, E. N., Friehs, G. M., Donoghue, J. P., & Hochberg, L. R. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046012 · Cited by 106 · see citing works
Self-citationWessberg, J., & Nicolelis, M. A. L. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041502652 · Cited by 105 · see citing works
Christie, B. P., Tat, D. M., Irwin, Z. T., Gilja, V., Nuyujukian, P., Foster, J. D., Ryu, S. I., Shenoy, K. V., Thompson, D. E., & Chestek, C. A. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/016009 · Cited by 103 · see citing works
Self-citationEfficient Decoding With Steady-State Kalman Filter in Neural Interface Systems
Malik, W. Q., Truccolo, W., Brown, E. N., & Hochberg, L. R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2092443 · Cited by 98 · see citing works
Self-citationPerformance measurement for brain–computer or brain–machine interfaces: a tutorial
Thompson, D. E., Quitadamo, L. R., Mainardi, L. T., Laghari, K. U. R., Gao, S., Kindermans, P.-J., Simeral, J. D., Fazel-Rezai, R., Matteucci, M., Falk, T. H., et al. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/3/035001 · Cited by 88 · see citing works
Self-citationInformation Systems Opportunities in Brain–Machine Interface Decoders
Kao, J. C., Stavisky, S. D., Sussillo, D., Nuyujukian, P., & Shenoy, K. V. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2307357 · Cited by 84 · see citing works
Self-citationIntention estimation in brain–machine interfaces
Fan, J. M., Nuyujukian, P., Kao, J. C., Chestek, C. A., Ryu, S. I., & Shenoy, K. V. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/1/016004 · Cited by 68 · see citing works
Self-citationPerformance sustaining intracortical neural prostheses
Nuyujukian, P., Kao, J. C., Fan, J. M., Stavisky, S. D., Ryu, S. I., & Shenoy, K. V. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/6/066003 · Cited by 66 · see citing works
Self-citationVelliste, M., Kennedy, S. D., Schwartz, A. B., Whitford, A. S., Sohn, J.-W., & McMorland, A. J. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3520-13.2014 · Cited by 60 · see citing works
Error-related electrocorticographic activity in humans during continuous movements
Milekovic, T., Ball, T., Schulze‐Bonhage, A., Aertsen, A., & Mehring, C. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026007 · Cited by 56 · see citing works
Milekovic, T., Tonio Ball, A., Schulze‐Bonhage, A., Aertsen, A., & Mehring, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055235 · Cited by 53 · see citing works
Neural Correlates of Visual?Spatial Attention in Electrocorticographic Signals in Humans
Gunduz, A., Brunner, P., Daitch, A. L., Leuthardt, E. C., Ritaccio, A. L., Pesaran, B., & Schalk, G. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00089 · Cited by 49 · see citing works
Non-causal spike filtering improves decoding of movement intention for intracortical BCIs
Masse, N. Y., Jarosiewicz, B., Simeral, J. D., Bacher, D., Stavisky, S. D., Cash, S. S., Oakley, E. M., Berhanu, E., Eskandar, E. N., Friehs, G. M., et al. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.08.004 · Cited by 43 · see citing works
Self-citationA multi-agent control framework for co-adaptation in brain-computer interfaces
Merel, J., Fox, R., Jebara, T., & Paninski, L. (2013) · neural information processing systems · Cited by 21 · see citing works
Estimation of variance by a recursive equation
Bruce, M. M. (1969) · NASA Technical Reports Server (NASA) · Cited by 15 · see citing works
Intracranialbrain–computer interfaces for communication and control
Jarosiewicz, B., & Hochberg, L. R. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511995583.042 · Cited by 4 · see citing works
Self-citation
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- [22]Kim S Wood F Fellows M Donoghue JP Black MJ Statistical analysis of the non-stationarity of neural population codes First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics Pisa, Italy 20 to 22 February 2006 811 816
- [36]Golub M Chase S Yu BM Proceedings of the 30th International Conference on Machine Learning (ICML-13) Atlanta, GA 16 to 21 June 2013 606 614
- [43]Even-Chen N Stavisky SD Kao JC Ryu SI Shenoy KV IEEE Engineering in Medicine and Biology Society Milan, Italy 25 to 29 August 2015
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“To train the RNN to account for drifts in the means of neural features that naturally accrue over time in neural recordings (Downey et al., 2018; Jarosiewicz et al., 2015), we added artificial perturbations to the feature means, similar to (Sussillo et al.”
BackgroundMethodResultInfluentialSelf-citationBrain–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
A high-performance speech neuroprosthesis
Willett, F. R., Kunz, E. M., Fan, C., Avansino, D. T., Wilson, G. H., Choi, E. Y., Kamdar, F., Glasser, M. F., Hochberg, L. R., Druckmann, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06377-x · Cited by 581 · see citing works
Self-citationPandarinath, C., Nuyujukian, P., Blabe, C. H., Sorice, B. L., Saab, J., Willett, F. R., Hochberg, L. R., Shenoy, K. V., & Henderson, J. M. (2017) · eLife · doi:10.7554/elife.18554 · Cited by 566 · see citing works
“…et al., 2003 ; Musallam et al., 2004 ; Santhanam et al., 2006 ; Hochberg et al., 2006 ; Ganguly et al., 2011 ; O’Doherty et al., 2011 ; Gilja et al., 2012 ; Simeral et al., 2011 ; Bacher et al., 2015 ; Nuyujukian et al., 2015 ; Aflalo et al., 2015 ; Gilja et al., 2015 ; Jarosiewicz et al., 2015 ).”
BackgroundMethodInfluentialSelf-citationSpinal cord repair: advances in biology and technology
Courtine, G., & Sofroniew, M. V. (2019) · Nature Medicine · doi:10.1038/s41591-019-0475-6 · Cited by 508 · see citing works
Davis, T. S., Wark, H. A. C., Hutchinson, D. T., Warren, D. J., O’Neill, K., Scheinblum, T., Clark, G. A., Normann, R. A., & Greger, B. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/3/036001 · Cited by 314 · see citing works
Machine translation of cortical activity to text with an encoder–decoder framework
Makin, J. G., Moses, D. A., & Chang, E. F. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0608-8 · Cited by 321 · see citing works
Accurate Estimation of Neural Population Dynamics without Spike Sorting
Trautmann, E. M., Stavisky, S. D., Lahiri, S., Ames, K. C., Kaufman, M. T., O’Shea, D. J., Vyas, S., Sun, X., Ryu, S. I., Ganguli, S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.003 · Cited by 255 · see citing works
Self-citationAn Accurate and Rapidly Calibrating Speech Neuroprosthesis
Card, N. S., Wairagkar, M., Iacobacci, C., Hou, X., Singer-Clark, T., Willett, F. R., Kunz, E. M., Fan, C., Vahdati Nia, M., Deo, D. R., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2314132 · Cited by 238 · see citing works
Self-citationBrain–computer interface–based communication in the completely locked-in State
Chaudhary, U., Xia, B., Silvoni, S., Cohen, L. G., & Birbaumer, N. (2017) · PLOS Biology · doi:10.1371/journal.pbio.1002593 · Cited by 235 · see citing works
RetractedMaking brain–machine interfaces robust to future neural variability
Sussillo, D., Stavisky, S. D., Kao, J. C., Ryu, S. I., & Shenoy, K. V. (2016) · Nature Communications · doi:10.1038/ncomms13749 · Cited by 214 · see citing works
Self-citationDegenhart, A. D., Bishop, W. E., Oby, E. R., Tyler-Kabara, E. C., Chase, S. M., Batista, A. P., & Yu, B. M. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0542-9 · Cited by 212 · see citing works
Krucoff, M. O., Rahimpour, S., Slutzky, M. W., Edgerton, V. R., & Turner, D. A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00584 · Cited by 188 · see citing works
Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
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Self-citationCortical control of a tablet computer by people with paralysis
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Self-citationSchwemmer, M. A., Skomrock, N. D., Sederberg, P. B., Ting, J. E., Sharma, G., Bockbrader, M. A., & Friedenberg, D. A. (2018) · Nature Medicine · doi:10.1038/s41591-018-0171-y · Cited by 167 · see citing works
Simeral, J. D., Hosman, T., Saab, J., Flesher, S. N., Vilela, M., Franco, B., Kelemen, J. N., Brandman, D. M., Ciancibello, J. G., Rezaii, P. G., et al. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3069119 · Cited by 165 · see citing works
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Rapid calibration of an intracortical brain–computer interface for people with tetraplegia
Brandman, D. M., Hosman, T., Saab, J., Burkhart, M. C., Shanahan, B. E., Ciancibello, J. G., Sarma, A. A., Milstein, D., Vargas-Irwin, C. E., Franco, B., et al. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9ee7 · Cited by 152 · see citing works
Self-citationChaudhary, U., VLACHOS, I. K., Zimmermann, J. B., Espinosa, A., Tonin, A., Jaramillo-Gonzalez, A., Khalili‐Ardali, M., Topka, H. R., Lehmberg, J., Friehs, G. M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28859-8 · Cited by 141 · see citing works
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Martin, S., Iturrate, I., Millán, J. D. R., Knight, R. T., & Pasley, B. N. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00422 · Cited by 115 · see citing works
Nason, S. R., Vaskov, A. K., Willsey, M. S., Welle, E. J., An, H., Vu, P. P., Bullard, A. J., Nu, C. S., Kao, J. C., Shenoy, K. V., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0591-0 · Cited by 113 · see citing works
Self-citationStavisky, S. D., Kao, J. C., Ryu, S. I., & Shenoy, K. V. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.023 · Cited by 111 · see citing works
Self-citationReview: Human Intracortical Recording and Neural Decoding for Brain–Computer Interfaces
Brandman, D. M., Cash, S. S., & Hochberg, L. R. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2677443 · Cited by 102 · see citing works
Self-citationDecoding spoken English from intracortical electrode arrays in dorsal precentral gyrus
Wilson, G. H., Stavisky, S. D., Willett, F. R., Avansino, D. T., Kelemen, J. N., Hochberg, L. R., Henderson, J. M., Druckmann, S., & Shenoy, K. V. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abbfef · Cited by 103 · see citing works
Self-citationLatent Factors and Dynamics in Motor Cortex and Their Application to Brain–Machine Interfaces
Pandarinath, C., Ames, K. C., Russo, A. A., Farshchian, A., Miller, L. E., Dyer, E. L., & Kao, J. C. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1669-18.2018 · Cited by 103 · see citing works
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Vilela, M., & Hochberg, L. R. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00008-1 · Cited by 100 · see citing works
Self-citationMotor imagery recognition with automatic EEG channel selection and deep learning
Zhang, H., Zhao, X., Wu, Z., Sun, B., & Li, T. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abca16 · Cited by 90 · see citing works
Azad, T. D., Veeravagu, A., & Steinberg, G. K. (2016) · Neurosurgical FOCUS · doi:10.3171/2016.2.focus15637 · Cited by 90 · see citing works
Linse, K., Aust, E., Joos, M., & Hermann, A. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00603 · Cited by 74 · see citing works
Sung, C., Jeon, W., Nam, K. S., Kim, Y., Butt, H., & Park, S. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00872a · Cited by 85 · see citing works
Chaudhary, U., Mrachacz‐Kersting, N., & Birbaumer, N. (2020) · The Journal of Physiology · doi:10.1113/jp278775 · Cited by 86 · see citing works
Willsey, M. S., Shah, N. P., Avansino, D. T., Hahn, N. V., Jamiolkowski, R. M., Kamdar, F. B., Hochberg, L. R., Willett, F. R., & Henderson, J. M. (2025) · Nature Medicine · doi:10.1038/s41591-024-03341-8 · Cited by 88 · see citing works
Self-citationBrain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations
Slutzky, M. W. (2018) · The Neuroscientist · doi:10.1177/1073858418775355 · Cited by 84 · see citing works
The science and engineering behind sensitized brain-controlled bionic hands
Pandarinath, C., & Bensmaı̈a, S. J. (2021) · Physiological Reviews · doi:10.1152/physrev.00034.2020 · Cited by 76 · see citing works
Self-citationNeural Decoding for Intracortical Brain–Computer Interfaces
Dong, Y., Wang, S., Huang, Q., Berg, R. W., Li, G., & He, J. (2023) · Cyborg and Bionic Systems · doi:10.34133/cbsystems.0044 · Cited by 81 · see citing works
Implantable Neural Probes for Brain-Machine Interfaces ? Current Developments and Future Prospects
Choi, J., Kim, S., Ryu, R.-H., Kim, S.-P., & Sohn, J.-W. (2018) · Experimental Neurobiology · doi:10.5607/en.2018.27.6.453 · Cited by 76 · see citing works
Key considerations in designing a speech brain-computer interface
Bocquelet, F., Hueber, T., Laurent Girin, B., Chabardès, S., & Yvert, B. (2016) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2017.07.002 · Cited by 70 · see citing works
Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm
Makin, J. G., O’Doherty, J. E., Cardoso, M. M. B., & Sabes, P. N. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9e95 · Cited by 73 · see citing works
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
Wang, Z., & Ji, H. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i5.20472 · Cited by 74 · see citing works
Delving into the recent advancements of spinal cord injury treatment: a review of recent progress
Flack, J. A., Sharma, K. D., & Xie, J. Y. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.317961 · Cited by 72 · see citing works
Stabilizing brain-computer interfaces through alignment of latent dynamics
Karpowicz, B. M., Ali, Y. H., Wimalasena, L. N., Sedler, A. R., Keshtkaran, M. R., Bodkin, K. L., Ma, X., Rubin, D. B., Williams, Z. M., Cash, S. S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59652-y · Cited by 73 · see citing works
Self-citationHuman neuroimaging reveals the subcomponents of grasping, reaching and pointing actions
Cavina‐Pratesi, C., Connolly, J. D., Monaco, S., Figley, T. D., Milner, A. D., Schenk, T., & Culham, J. C. (2017) · Cortex · doi:10.1016/j.cortex.2017.05.018 · Cited by 68 · see citing works
Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning
Ahmadi, N., Constandinou, T. G., & Bouganis, C.-S. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abde8a · Cited by 69 · see citing works
Brain control of bimanual movement enabled by recurrent neural networks
Deo, D. R., Willett, F. R., Avansino, D. T., Hochberg, L. R., Henderson, J. M., & Shenoy, K. V. (2024) · Scientific Reports · doi:10.1038/s41598-024-51617-3 · Cited by 73 · see citing works
Self-citationReplay of Learned Neural Firing Sequences during Rest in Human Motor Cortex
Eichenlaub, J., Jarosiewicz, B., Saab, J., Franco, B., Kelemen, J. N., Halgren, E., Hochberg, L. R., & Cash, S. S. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107581 · Cited by 83 · see citing works
Self-citationBrain-computer interfaces for communication
Vansteensel, M. J., & Jarosiewicz, B. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00007-x · Cited by 67 · see citing works
Self-citationInterfacing with the Brain: How Nanotechnology Can Contribute
Ahmed, A. A. A., Alegret, N., Almeida, B., Álvarez‐Puebla, R. A., Andrews, A. M., Ballerini, L., Barrios‐Capuchino, J. J., Becker, C., Blick, R. H., Bonakdar, S., et al. (2025) · ACS Nano · doi:10.1021/acsnano.4c10525 · Cited by 68 · see citing works
Bullard, A. J., Hutchison, B. C., Lee, J., Chestek, C. A., & Patil, P. G. (2020) · Neuromodulation: Technology at the Neural Interface · doi:10.1111/ner.13069 · Cited by 65 · see citing works
The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders
Provenza, N. R., Matteson, E., Allawala, A. B., Barrios-Anderson, A., Sheth, S. A., Viswanathan, A., McIngvale, E., Storch, E. A., Frank, M. J., McLaughlin, N. C. R., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00152 · Cited by 67 · see citing works
Motor cortical activity changes during neuroprosthetic-controlled object interaction
Downey, J. E., Brane, L., Gaunt, R. A., Tyler-Kabara, E. C., Boninger, M. L., & Collinger, J. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-17222-3 · Cited by 63 · see citing works
Shoffstall, A. J., Paiz, J. E., Miller, D. M., Rial, G. M., Willis, M. T., Menendez, D. M., Hostler, S. R., & Capadona, J. R. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9f32 · Cited by 60 · see citing works
Black, B., Kanneganti, A., Joshi‐Imre, A., Rihani, R. T., Chakraborty, B., Abbott, J., Pancrazio, J. J., & Cogan, S. F. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00181.2018 · Cited by 62 · see citing works
Young, D. R., Willett, F. R., Memberg, W. D., Murphy, B., Walter, B. L., Sweet, J., Miller, J. P., Hochberg, L. R., Kirsch, R. F., & Ajiboye, A. B. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9ee8 · Cited by 56 · see citing works
Self-citationLong-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis
Colachis, S. C., Dunlap, C. F., Annetta, N. V., Tamrakar, S., Bockbrader, M. A., & Friedenberg, D. A. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac1add · Cited by 64 · see citing works
Vansteensel, M. J., Klein, E. P., van Thiel, G. J. M. W., Gaytant, M. A., Simmons, Z., Wolpaw, J. R., & Vaughan, T. M. (2022) · Journal of Neurology · doi:10.1007/s00415-022-11464-6 · Cited by 61 · see citing works
Feedback control policies employed by people using intracortical brain–computer interfaces
Willett, F. R., Pandarinath, C., Jarosiewicz, B., Murphy, B. A., Memberg, W. D., Blabe, C. H., Saab, J., Walter, B. L., Sweet, J. A., Miller, J. P., et al. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/14/1/016001 · Cited by 61 · see citing works
Self-citationZhang, J., Li, J., Huang, Z., Huang, D., Yu, H., & Li, Z. (2023) · Health Data Science · doi:10.34133/hds.0096 · Cited by 58 · see citing works
Interfacing to the brain’s motor decisions
Mirabella, G., & Lebedev, M. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00051.2016 · Cited by 55 · see citing works
Neural control of finger movement via intracortical brain–machine interface
Irwin, Z. T., Schroeder, K. E., Vu, P. P., Bullard, A. J., Tat, D. M., Nu, C. S., Vaskov, A. K., Nason, S. R., Thompson, D. E., Bentley, J. N., et al. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa80bd · Cited by 54 · see citing works
Decoding task engagement from distributed network electrophysiology in humans
Provenza, N. R., Paulk, A. C., Peled, N., Restrepo, M. I., Cash, S. S., Dougherty, D. D., Eskandar, E. N., Borton, D. A., & Widge, A. S. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab2c58 · Cited by 51 · see citing works
Self-citationCollinger, J. L., Gaunt, R. A., & Schwartz, A. B. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.11.005 · Cited by 52 · see citing works
Learning to control a BMI-driven wheelchair for people with severe tetraplegia
Tonin, L., Perdikis, S., Kuzu, T. D., Pardo, J., Orset, B., Lee, K., Aach, M., Schildhauer, T. A., Martínez, R., & Millán, J. D. R. (2022) · iScience · doi:10.1016/j.isci.2022.105418 · Cited by 50 · see citing works
Bergeron, D., Iorio‐Morin, C., Bonizzato, M., Lajoie, G., Gaucher, N. O., Racine, É., & Weil, A. G. (2023) · Journal of Child Neurology · doi:10.1177/08830738231167736 · Cited by 48 · see citing works
Decoding Cognitive Processes from Neural Ensembles
Wallis, J. D. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.09.002 · Cited by 57 · see citing works
Formento, E., Botros, P., & Carmena, J. M. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac35ac · Cited by 47 · see citing works
Inner speech in motor cortex and implications for speech neuroprostheses
Kunz, E. M., Abramovich Krasa, B., Kamdar, F., Avansino, D. T., Hahn, N., Yoon, S., Singh, A., Nason-Tomaszewski, S. R., Card, N. S., Jude, J. J., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.015 · Cited by 55 · see citing works
Self-citationPrincipled BCI Decoder Design and Parameter Selection Using a Feedback Control Model
Willett, F. R., Young, D. R., Murphy, B. A., Memberg, W. D., Blabe, C. H., Pandarinath, C., Stavisky, S. D., Rezaii, P. G., Saab, J., Walter, B. L., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-44166-7 · Cited by 51 · see citing works
Self-citationAdversarial Domain Adaptation for Stable Brain-Machine Interfaces
Farshchian, A., Gallego, J. A., Cohen, J. P., Bengio, Y., Miller, L. E., & Solla, S. A. (2018) · arXiv · doi:10.48550/arxiv.1810.00045 · Cited by 48 · see citing works
Using adversarial networks to extend brain computer interface decoding accuracy over time
Ma, X., Rizzoglio, F., Bodkin, K. L., Perreault, E. J., Miller, L. E., & Kennedy, A. (2023) · eLife · doi:10.7554/elife.84296 · Cited by 47 · see citing works
Physiological properties of brain-machine interface input signals
Slutzky, M. W., & Flint, R. D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00070.2017 · Cited by 45 · see citing works
Hosman, T., Vilela, M., Milstein, D., Kelemen, J. N., Brandman, D. M., Hochberg, L. R., & Simeral, J. D. (2019) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2019.8717140 · Cited by 46 · see citing works
Self-citationLegal liabilities of BCI-users: Responsibility gaps at the intersection of mind and machine?
Bublitz, C., Wolkenstein, A., Jox, R. J., & Friedrich, O. (2018) · International Journal of Law and Psychiatry · doi:10.1016/j.ijlp.2018.10.002 · Cited by 48 · see citing works
Multi-scale neural decoding and analysis
Lu, H., Lorenc, E. S., Zhu, H., Kilmarx, J., Sulzer, J. S., Xie, C., Tobler, P. N., Watrous, A. J., Orsborn, A. L., Lewis‐Peacock, J. A., et al. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac160f · Cited by 41 · see citing works
Herring, E. Z., Graczyk, E. L., Memberg, W. D., Adams, R., Baca-Vaca, G. F., Hutchison, B. C., Krall, J. T., Alexander, B. J., Conlan, E. C., Alfaro, K. E., et al. (2023) · Neurosurgery · doi:10.1227/neu.0000000000002769 · Cited by 42 · see citing works
Natraj, N., Seko, S., Abiri, R., Miao, R., Yan, H., Graham, Y., Tu-Chan, A., Chang, E. F., & Ganguly, K. (2025) · Cell · doi:10.1016/j.cell.2025.02.001 · Cited by 41 · see citing works
Skomrock, N. D., Schwemmer, M. A., Ting, J. E., Trivedi, H. R., Sharma, G., Bockbrader, M. A., & Friedenberg, D. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00763 · Cited by 41 · see citing works
Joshi‐Imre, A., Black, B., Abbott, J., Kanneganti, A., Rihani, R. T., Chakraborty, B., Danda, V. R., Maeng, J., Sharma, R., Rieth, L. W., et al. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab1bc8 · Cited by 41 · see citing works
Practical real-time MEG-based neural interfacing with optically pumped magnetometers
Wittevrongel, B., Holmes, N., Boto, E., Hill, R. M., Rea, M., Libert, A., Khachatryan, E., Hulle, M. M. V., Bowtell, R. W., & Brookes, M. J. (2021) · BMC Biology · doi:10.1186/s12915-021-01073-6 · Cited by 43 · see citing works
Neuroprosthetic Speech: The Ethical Significance of Accuracy, Control and Pragmatics
Rainey, S., Maslen, H., Mégevand, P., Arnal, L. H., Fourneret, É., & Yvert, B. (2019) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180119000604 · Cited by 41 · see citing works
Neurotechnologies to restore hand functions
Losanno, E., Mender, M. J., Chestek, C. A., Shokur, S., & Micera, S. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00054-4 · Cited by 42 · see citing works
Leveraging neural dynamics to extend functional lifetime of brain-machine interfaces
Kao, J. C., Ryu, S. I., & Shenoy, K. V. (2017) · Scientific Reports · doi:10.1038/s41598-017-06029-x · Cited by 41 · see citing works
Self-citationPennartz, C. M. A. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113969 · Cited by 40 · see citing works
Stabilizing brain-computer interfaces through alignment of latent dynamics
Karpowicz, B. M., Ali, Y. H., Wimalasena, L. N., Sedler, A. R., Keshtkaran, M. R., Bodkin, K., Ma, X., Miller, L. E., & Pandarinath, C. (2022) · doi:10.1101/2022.04.06.487388 · Cited by 71 · see citing works
Self-citationComputational challenges and opportunities for a bi-directional artificial retina
Shah, N. P., & Chichilnisky, E. J. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/aba8b1 · Cited by 39 · see citing works
Advanced rehabilitation in ischaemic stroke research
Wang, J., Li, Y., Qi, L., Mamtilahun, M., Liu, C., Liu, Z., Shi, R., Wu, S., & Yang, G. (2023) · Stroke and Vascular Neurology · doi:10.1136/svn-2022-002285 · Cited by 42 · see citing works
Brain–Machine Interfaces: Closed-Loop Control in an Adaptive System
Sorrell, E., Rule, M. E., & O’Leary, T. (2021) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-061720-012348 · Cited by 42 · see citing works
Vitale, F., Shen, W., Driscoll, N., Burrell, J. C., Richardson, A. G., Adewole, D. O., Murphy, B. B., Ananthakrishnan, A., Oh, H., Wang, T., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206137 · Cited by 37 · see citing works
Augmenting intracortical brain-machine interface with neurally driven error detectors
Even-Chen, N., Stavisky, S. D., Kao, J. C., Ryu, S. I., & Shenoy, K. V. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa8dc1 · Cited by 34 · see citing works
Self-citationDecoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex
Guan, C., Aflalo, T., KADLEC, K. H., Gámez, J., Rosario, E. R., Bari, A., Pouratian, N., & Andersen, R. A. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acd3b1 · Cited by 35 · see citing works
Dai, J., Zhang, P., Sun, H., Qiao, X., Zhao, Y., Ma, J., Li, S., Zhou, J., & Wang, C. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab0bfb · Cited by 33 · see citing works
An, H., Nason, S. R., Lim, J., Kwon, K., Willsey, M. S., Patil, P. G., Kim, H.-S., Sylvester, D., Chestek, C. A., & Blaauw, D. T. (2022) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2022.3175926 · Cited by 33 · see citing works
Brain‐computer interfaces for amyotrophic lateral sclerosis
McFarland, D. J. (2020) · Muscle & Nerve · doi:10.1002/mus.26828 · Cited by 33 · see citing works
- Authors
- Jarosiewicz, B., Sarma, A. A., Bacher, D., Masse, N. Y., Simeral, J. D., Sorice, B., Oakley, E. M., Blabe, C., Pandarinath, C., Gilja, V., Cash, S. S., Eskandar, E. N., Friehs, G., Henderson, J. M., Shenoy, K. V., Donoghue, J. P., & Hochberg, L. R.
- Affiliations
- Brown University (US)
- Massachusetts General Hospital (US)
- Stanford Medicine (US)
- Harvard University (US)
- Rhode Island Hospital (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Jarosiewicz, Beata
- Friehs, Gerhard
- Donoghue, John P.
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2015-11-11
- Volume
- 7
- Issue
- 313
- Pages
- 313ra179-313ra179
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC4765319
- OpenAlex
- W2243428647
- Cited by
- 340
- References
- 50
- Citations by year
- 2026: 26 · 2025: 31 · 2024: 34 · 2023: 35 · 2022: 25 · 2021: 29 · 2020: 44 · 2019: 23 · 2018: 32 · 2017: 39 · 2016: 21 · 2015: 1
- FWCI
- 18.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- NIH: National Institute on Deafness and Other Communication Disorders (R01DC009899, R01DC014034)
- National Institute of Neurological Disorders and Stroke (RO1NS066311-S1)
- NICHD (RC1HD063931)
- Doris Duke Charitable Foundation
- Craig H. Neilsen Foundation
- Massachusetts General Hospital (MGH)
- Office of Research and Development, Rehabilitation R&D Service, Department of Veterans Affairs (B6310W, B6453R, B6459L, A6779I)
- National Institute of Child Health and Human_National Center for Medical Rehabilitation Research (NICHD-NCMRR) (N01HD53403)
- Joseph Martin Prize for Basic Research
- Katie Samson Foundation
- Stanford Institute for Neuro-Innovation and Translational Neuroscience
- Stanford BioX-NeuroVentures
- Garlick Family
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- intracortical brain-computer interfaces, tetraplegia, self-calibration, neural decoding, augmentative and alternative communication, paralysis
- MeSH terms
- Amyotrophic Lateral Sclerosis, Calibration, Female, Humans, Male, Motor Cortex, Quadriplegia, Self-Help Devices, Stroke, Brain-Computer Interfaces
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