The DOI matches its Crossref record; 195 of the 197 references it cites were found in a registry or an index.
Restoring sensorimotor function through intracortical interfaces: progress and looming challenges
Open accessAbstract
The loss of a limb or paralysis resulting from spinal cord injury has devastating consequences on quality of life. One approach to restoring lost sensory and motor abilities in amputees and patients with tetraplegia is to supply them with implants that provide a direct interface with the CNS. Such brain–machine interfaces might enable a patient to exert voluntary control over a prosthetic or robotic limb or over the electrically induced contractions of paralysed muscles. A parallel interface could convey sensory information about the consequences of these movements back to the patient. Recent developments in the algorithms that decode motor intention from neuronal activity and in approaches to convey sensory feedback by electrically stimulating neurons, using biomimetic and adaptation-based approaches, have shown the promise of invasive interfaces with sensorimotor cortices, although substantial challenges remain.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These flexible stimulators function by releasing (electrical and optical) signals into the brain,[272] spinal cord,[522] and periphery nerves[529] to achieve neural modulation for associated sensory perception and motor rehabilitation.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [272]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In other studies, ICMS pulse trains have been transferred through implanted electrodes (UEAs) in a monkey for restoration of sensory feedback (Bensmaia and Miller, 2014; Chen et al., 2014; Kim et al., 2015).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Bensmaia and Miller, 2014
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Subcutaneous invasive electrophysiological signals can be derived through brain interfaces,[270–272] using electrocorticography (ECoG)[273,274] on the cortical surface as well as local field potentials (LFP)[275,276] extracted from electrodes inserted into the cortex.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [272]
The cited source says what the claim attributes to it.
In the citing paper
“Major strides have been made in the development of approaches to control these hands either by decoding motor intent from myoelectric signals (Fougner et al., 2012;Schultz and Kuiken, 2011) or from the activation of neurons in motor cortex (Bensmaia and Miller, 2014;Wodlinger et al., 2015).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Bensmaia and Miller, 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433
Rubber hands ‘feel’ touch that eyes see
Botvinick, M., & Cohen, J. (1998) · Nature · doi:10.1038/35784 · Cited by 4,410
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
PENFIELD, W., & BOLDREY, E. (1937) · Brain · doi:10.1093/brain/60.4.389 · Cited by 4,188
Understanding motor events: a neurophysiological study
di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., & Rizzolatti, G. (1992) · Experimental Brain Research · doi:10.1007/bf00230027 · Cited by 3,539
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
Cattaneo, L., & Rizzolatti, G. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.41 · Cited by 3,137
Neurodegenerative Disorders: Parkinson's Disease and Huntington's Disease
Hague, S., Klaffke, S., & Bandmann, O. (2006) · IMPERIAL COLLEGE PRESS eBooks · doi:10.1142/9781860948961_0007 · Cited by 2,767
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
Adaptive representation of dynamics during learning of a motor task
Shadmehr, R., & Mussa-Ivaldi, F. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-05-03208.1994 · Cited by 2,612
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243
Coding and use of tactile signals from the fingertips in object manipulation tasks
Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896
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
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
Johansson, R. S., & Westling, G. (1984) · Experimental Brain Research · doi:10.1007/bf00237997 · Cited by 1,731
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
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
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
Real-time prediction of hand trajectory by ensembles of cortical neurons in primates
Wessberg, J., Stambaugh, C. R., Kralik, J. D., Beck, P. D., Laubach, M., Chapin, J. K., Kim, J., Biggs, S. J., Srinivasan, M. A., & Nicolelis, M. A. L. (2000) · Nature · doi:10.1038/35042582 · Cited by 1,491
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
Relation of pyramidal tract activity to force exerted during voluntary movement.
Evarts, E. V. (1968) · Journal of Neurophysiology · doi:10.1152/jn.1968.31.1.14 · Cited by 1,258
Postural Hand Synergies for Tool Use
Santello, M., Flanders, M., & Soechting, J. F. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-23-10105.1998 · Cited by 1,215
Motor control mechanisms in health and disease
Desmedt, J. E. (1983) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 1,203
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 1,173
The perception of phantom limbs. The D. O. Hebb lecture
Ramachandran, V. (1998) · Brain · doi:10.1093/brain/121.9.1603 · Cited by 1,100
The central nervous system stabilizes unstable dynamics by learning optimal impedance
Burdet, E., Osu, R., Franklin, D. W., Milner, T. E., & Kawato, M. (2001) · Nature · doi:10.1038/35106566 · Cited by 1,097
Temporal structure in neuronal activity during working memory in macaque parietal cortex
Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002) · Nature Neuroscience · doi:10.1038/nn890 · Cited by 1,071
Adaptive control of mechanical impedance by coactivation of antagonist muscles
Hogan, N. (1984) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1984.1103644 · Cited by 1,064
Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories
Krakauer, J. W., Pine, Z. M., Ghilardi, M. F., & Ghez, C. P. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-23-08916.2000 · Cited by 874
The social role of touch in humans and primates: Behavioural function and neurobiological mechanisms
Dunbar, R. I. M. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.07.001 · Cited by 798
Muscle and movement representations in the primary motor cortex
Kakei, S., Hoffman, D. S., & Strick, P. L. (1999) · Science · doi:10.1126/science.285.5436.2136 · Cited by 796
Carbon nanotube coating improves neuronal recordings
Keefer, E. W., Botterman, B. R., Romero, M. I., Rossi, A. F., & Gross, G. W. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.174 · Cited by 721
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
Role of Cocontraction in Arm Movement Accuracy
Gribble, P. L., Mullin, L. I., Cothros, N., & Mattar, A. A. G. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01020.2002 · Cited by 682
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
Control of limb dynamics in normal subjects and patients without proprioception
Sainburg, R. L., Ghilardi, M. F., Poizner, H., & Ghez, C. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.73.2.820 · Cited by 662
Functional classes of primate corticomotoneuronal cells and their relation to active force
Cheney, P. D., & Fetz, E. E. (1980) · Journal of Neurophysiology · doi:10.1152/jn.1980.44.4.773 · Cited by 653
Flexible polyimide-based intracortical electrode arrays with bioactive capability
Rousche, P. J., Pellinen, D. S., Pivin, D. P., Williams, J. C., Vetter, R. J., & Kipke, D. R. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.914800 · Cited by 644
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
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 610
Histed, M. H., Bonin, V., & Reid, R. C. (2009) · Neuron · doi:10.1016/j.neuron.2009.07.016 · Cited by 604
Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates
Barrese, J. C., Rao, N., Paroo, K., Triebwasser, C., Vargas-Irwin, C., Franquemont, L., & Donoghue, J. P. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066014 · Cited by 600
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
Direct control of a computer from the human central nervous system
Kennedy, P. R., Bakay, R. A. E., Moore, M. M., Adams, K. D., & Goldwaithe, J. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847815 · Cited by 573
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
Cardin, J. A., Carlén, M., Meletis, K., Knoblich, U., Zhang, F., Deisseroth, K. A., Tsai, L., & Moore, C. I. (2010) · Nature Protocols · doi:10.1038/nprot.2009.228 · Cited by 559
Kalaska, J. F., Cohen, D. A. D., Hyde, M., & Prud'homme, M.-A. (1989) · Journal of Neuroscience · doi:10.1523/jneurosci.09-06-02080.1989 · Cited by 528
Nanomaterials for Neural Interfaces
Kotov, N. A., Winter, J. O., Clements, I. P., Jan, E., Timko, B. P., Campidelli, S., Pathak, S., Mazzatenta, A., Lieber, C. M., Prato, M., et al. (2009) · Advanced Materials · doi:10.1002/adma.200801984 · Cited by 504
Somatosensory discrimination based on cortical microstimulation
Romo, R., Hernández, A., Zainos, A., & Salinas, E. (1998) · Nature · doi:10.1038/32891 · Cited by 500
Implanted Neural Interfaces: Biochallenges and Engineered Solutions
Grill, W. M., Norman, S. E., & Bellamkonda, R. V. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124927 · Cited by 488
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 485
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
Self-citationMaking arm movements within different parts of space: dynamic aspects in the primate motor cortex
Caminiti, R., Johnson, P., & Urbano, A. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-07-02039.1990 · Cited by 467
Ochoa, J., & Torebjörk, E. (1983) · The Journal of Physiology · doi:10.1113/jphysiol.1983.sp014873 · Cited by 467
How Somatotopic Is the Motor Cortex Hand Area?
Schieber, M. H., & Hibbard, L. S. (1993) · Science · doi:10.1126/science.8332915 · Cited by 466
An optogenetic toolbox designed for primates
Diester, I., Kaufman, M. T., Mogri, M., Pashaie, R., Goo, W., Yizhar, O., Ramakrishnan, C., Deisseroth, K., & Shenoy, K. V. (2011) · Nature Neuroscience · doi:10.1038/nn.2749 · Cited by 443
Kim, D., & Martin, D. C. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2005.12.021 · Cited by 438
Inference of hand movements from local field potentials in monkey motor cortex
Mehring, C., Rickert, J., Vaadia, E., de Oliveira, S. C., Aertsen, A., & Rotter, S. (2003) · Nature Neuroscience · doi:10.1038/nn1158 · Cited by 435
Scott, S. H., & Kalaska, J. F. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.2.826 · Cited by 407
Pesaran, B., Nelson, M. J., & Andersen, R. A. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.025 · Cited by 374
Predicting Measures of Motor Performance from Multiple Cortical Spike Trains
Humphrey, D. R., Schmidt, E. M., & Thompson, W. (1970) · Science · doi:10.1126/science.170.3959.758 · Cited by 372
Highly Conformable Conducting Polymer Electrodes for In Vivo Recordings
Khodagholy, D., Doublet, T., Gurfinkel, M., Quilichini, P., Ismailova, E., Leleux, P., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G. (2011) · Advanced Materials · doi:10.1002/adma.201102378 · Cited by 371
The effects of electrical microstimulation on cortical signal propagation
Logothetis, N. K., Augath, M. A., Murayama, Y., Rauch, A., Sultan, F. R., Goense, J. B. M., Oeltermann, A., & Merkle, H. (2010) · Nature Neuroscience · doi:10.1038/nn.2631 · Cited by 353
Chestek, 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
Stimulus‐response functions of slowly adapting mechanoreceptors in the human glabrous skin area.
Knibestöl, M. (1975) · The Journal of Physiology · doi:10.1113/jphysiol.1975.sp010835 · Cited by 337
Robotic touch shifts perception of embodiment to a prosthesis in targeted reinnervation amputees
Marasco, P. D., Kim, K., Colgate, J. E., Peshkin, M. A., & Kuiken, T. A. (2011) · Brain · doi:10.1093/brain/awq361 · Cited by 335
Selecting the signals for a brain–machine interface
Andersen, R. A., Musallam, S., & Pesaran, B. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.10.005 · Cited by 332
The Design of Integrated Circuits to Observe Brain Activity
Harrison, R. R. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.922581 · Cited by 330
An implantable wireless neural interface for recording cortical circuit dynamics in moving primates
Borton, D. A., Yin, M., Aceros, J. C., & Nurmikko, A. V. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/2/026010 · Cited by 326
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
Rickert, J., de Oliveira, S. C., Vaadia, E., Aertsen, A., Rotter, S., & Mehring, C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0816-05.2005 · Cited by 317
Corticomotoneuronal cells contribute to long‐latency stretch reflexes in the rhesus monkey.
Cheney, P. D., & Fetz, E. E. (1984) · The Journal of Physiology · doi:10.1113/jphysiol.1984.sp015155 · Cited by 311
Are movement parameters recognizably coded in the activity of single neurons
Fetz, E. E. (1992) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00072599 · Cited by 309
Predicting Movement from Multiunit Activity
Stark, E., & Abeles, M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1321-07.2007 · Cited by 306
Graimann, B., Allison, B. Z., & Pfurtscheller, G. (2010) · The frontiers collection · doi:10.1007/978-3-642-02091-9 · Cited by 304
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
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
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 297
Somatosensory Plasticity and Motor Learning
Ostry, D. J., Darainy, M., Mattar, A. A. G., Wong, J. D., & Gribble, P. L. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4571-09.2010 · Cited by 295
Lebedev, M., Carmena, J. M., O’Doherty, J. E., Zacksenhouse, M., Henriquez, C. S., Príncipe, J. C., & Nicolelis, M. A. L. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4088-04.2005 · Cited by 291
Decoding Complete Reach and Grasp Actions from Local Primary Motor Cortex Populations
Vargas-Irwin, C. E., Shakhnarovich, G., Yadollahpour, P., Mislow, J. M. K., Black, M. J., & Donoghue, J. P. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5443-09.2010 · Cited by 276
Romo, R., Hernández, A., Zainos, A., Brody, C. D., & Lemus, L. (2000) · Neuron · doi:10.1016/s0896-6273(00)81156-3 · Cited by 270
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
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 260
Neural coding during active somatosensation revealed using illusory touch
O'Connor, D. H., Hires, S. A., Guo, Z. V., Li, N., Yu, J., Sun, Q.-Q., Huber, D., & Svoboda, K. (2013) · Nature Neuroscience · doi:10.1038/nn.3419 · Cited by 252
Sergio, L. E., Hamel-Pâquet, C., & Kalaska, J. F. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00989.2004 · Cited by 247
Perge, 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
Macefield, V. G., Ross, C. H., & Johansson, R. S. (1996) · Experimental Brain Research · doi:10.1007/bf00242913 · Cited by 236
Decoding Trajectories from Posterior Parietal Cortex Ensembles
Mulliken, G. H., Musallam, S., & Andersen, R. A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1463-08.2008 · Cited by 231
Short-term and long-term safety of deep brain stimulation in the treatment of movement disorders
Kenney, C., Simpson, R. K., Hunter, C., Ondo, W. G., Almaguer, M., Davidson, A. L., & Jankovic, J. J. (2007) · Journal of neurosurgery · doi:10.3171/jns.2007.106.4.621 · Cited by 221
Sensory Recalibration of Hand Position Following Visuomotor Adaptation
Cressman, E. K., & Henriques, D. Y. P. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00514.2009 · Cited by 216
Contribution of the monkey corticomotoneuronal system to the control of force in precision grip
Maier, M. A., Bennett, K. M. B., Hepp‐Reymond, M., & Lemon, R. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.3.772 · Cited by 216
Smith, A. M., Hepp-Reymond, M.-C., & Wyss, U. R. (1975) · Experimental Brain Research · doi:10.1007/bf00239743 · Cited by 202
Operant Conditioning of Specific Patterns of Neural and Muscular Activity
Fetz, E. E., & Finocchio, D. V. (1971) · Science · doi:10.1126/science.174.4007.431 · Cited by 202
Decoding Continuous and Discrete Motor Behaviors Using Motor and Premotor Cortical Ensembles
Hatsopoulos, N. G., Joshi, J., & O'Leary, J. G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01245.2003 · Cited by 202
Fetz, E. E., & Baker, M. (1973) · Journal of Neurophysiology · doi:10.1152/jn.1973.36.2.179 · Cited by 201
Aiming error under transformed spatial mappings suggests a structure for visual-motor maps.
Cunningham, H. A. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.493 · Cited by 199
Multidigit Movement Synergies of the Human Hand in an Unconstrained Haptic Exploration Task
Thakur, P. H., Bastian, A. J., & Hsiao, S. S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4512-07.2008 · Cited by 190
Franklin, D. W., Burdet, E., Osu, R., Kawato, M., & Milner, T. E. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1443-3 · Cited by 189
Polypyrrole doped with 2 peptide sequences from laminin
Stauffer, W. R., & Cui, X. T. (2005) · Biomaterials · doi:10.1016/j.biomaterials.2005.10.024 · Cited by 188
Central nervous mechanisms subserving position sense and kinesthesis.
Mountcastle, V. B., & Tp, P. (1959) · PubMed · Cited by 188
Aiming error under transformed spatial mappings suggests a structure for visual-motor maps.
Cunningham, H. A. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.15.3.493 · Cited by 185
Flint, 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 184
Analysis of the synergies underlying complex hand manipulation
Todorov, E. V., & Zoubin Ghahramani, A. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404285 · Cited by 181
Proprioceptive activity in primate primary somatosensory cortex during active arm reaching movements
Prud'homme, M.-A., & Kalaska, J. F. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.5.2280 · Cited by 174
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 174
Yuan, P., Gao, X., Allison, B. Z., Wang, Y., Bin, G., & Gao, S. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/2/026014 · Cited by 171
Landgren, S., Phillips, C. G., & Porter, R. W. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006876 · Cited by 162
The representation of stimulus orientation in the early stages of somatosensory processing
Bensmaia, S. J., Denchev, P. V., Dammann, J. F., Craig, J. C., & Hsiao, S. S. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4162-07.2008 · Cited by 162
Primate Reaching Cued by Multichannel Spatiotemporal Cortical Microstimulation
Fitzsimmons, N. A., Drake, W., Hanson, T., Lebedev, M., & Nicolelis, M. A. L. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5297-06.2007 · Cited by 162
Brochier, T. G., Boudreau, M.-J., Paré, M., & Smith, A. M. (1999) · Experimental Brain Research · doi:10.1007/s002210050814 · Cited by 161
Neuronal coding of static force in the primate motor cortex.
Mc, H.-R., Ur, W., & Anner, R. (1978) · PubMed · Cited by 161
Mixture of Trajectory Models for Neural Decoding of Goal-Directed Movements
Yu, B. M., Kemere, C. T., Santhanam, G., Afshar, A., Ryu, S. I., Meng, T. H. Y., Sahani, M., & Shenoy, K. V. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00482.2006 · Cited by 160
In vivodeployment of mechanically adaptive nanocomposites for intracortical microelectrodes
Harris, J. P., Hess‐Dunning, A., Rowan, S. J., Weder, C., Zorman, C. A., Tyler, D. J., & Capadona, J. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/4/046010 · Cited by 159
Bansal, A. K., Vargas-Irwin, C. E., Truccolo, W., & Donoghue, J. P. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00532.2010 · Cited by 155
Xerri, C. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.3.264 · Cited by 145
SENSORY 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 144
McCreery, D. B., Pikov, V., & Troyk, P. R. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/3/036005 · Cited by 141
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 138
Self-citationMoxon, K. A., Kalkhoran, N. M., Markert, M., Sambito, M. A., McKenzie, J. L., & Webster, J. T. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827465 · Cited by 135
Reichert, W. M. (2007) · CRC Press eBooks · doi:10.1201/9781420009309 · Cited by 135
Long-term changes in the material properties of brain tissue at the implant–tissue interface
Sridharan, A., Rajan, S. D., & Muthuswamy, J. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066001 · Cited by 133
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 130
Chase, S. M., Kass, R. E., & Schwartz, A. B. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00371.2011 · Cited by 125
Electrical Stimulation of the Proprioceptive Cortex (Area 3a) Used to Instruct a Behaving Monkey
London, B. M., Jordan, L. R., Jackson, C. R., & Miller, L. E. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.907544 · Cited by 124
Self-citationSelection and parameterization of cortical neurons for neuroprosthetic control
Wahnoun, R., He, J., & Tillery, S. I. H. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/2/010 · Cited by 122
Responses of somatosensory area 2 neurons to actively and passively generated limb movements
London, B. M., & Miller, L. E. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00372.2012 · Cited by 120
Self-citationBehavioral Demonstration of a Somatosensory Neuroprosthesis
Berg, J. A., Dammann, J. F., Tenore, F. V., Tabot, G. A., Boback, J. L., Manfredi, L. R., Peterson, M. L., Katyal, K. D., Johannes, M. S., Makhlin, A., et al. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2244616 · Cited by 119
A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces
Kim, S.-P., Sanchez, J. C., Rao, Y. N., Deniz Erdogmus, B., Carmena, J. M., Lebedev, M., Nicolelis, M. A. L., & Príncipe, J. C. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/2/009 · Cited by 119
Perceiving invisible light through a somatosensory cortical prosthesis
Thomson, E. E., Carra, R. B., & Nicolelis, M. A. L. (2013) · Nature Communications · doi:10.1038/ncomms2497 · Cited by 117
Prediction of upper limb muscle activity from motor cortical discharge during reaching
Pohlmeyer, E. A., Solla, S. A., Perreault, E. J., & Miller, L. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/4/003 · Cited by 117
Self-citationBoline, J., & Ashe, J. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-0016-z · Cited by 114
Sensory capacity of reinnervated skin after redirection of amputated upper limb nerves to the chest
Marasco, P. D., Schultz, A. E., & Kuiken, T. A. (2009) · Brain · doi:10.1093/brain/awp082 · Cited by 113
Optimizing the Decoding of Movement Goals from Local Field Potentials in Macaque Cortex
Markowitz, D. A., Wong, Y. T., Gray, C. M., & Pesaran, B. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4165-11.2011 · Cited by 110
Shape Invariant Coding of Motion Direction in Somatosensory Cortex
Pei, Y., Hsiao, S. S., Craig, J. C., & Bensmaı̈a, S. J. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000305 · Cited by 107
Invasive or Noninvasive: Understanding Brain-Machine Interface Technology [Conversations in BME
Millán, J. D. R., & Carmena, J. M. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2009.935475 · Cited by 107
Roles of primate spinal interneurons in preparation and execution of voluntary hand movement
Fetz, E. E., Perlmutter, S. I., Prut, Y., Seki, K., & Votaw, S. V. (2002) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00188-1 · Cited by 105
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 104
Self-citationDesign 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
Lind, G., Linsmeier, C. E., Thelin, J., & Schouenborg, J. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/4/046005 · Cited by 102
Mechanically adaptive nanocomposites for neural interfacing
Capadona, J. R., Tyler, D. J., Zorman, C. A., Rowan, S. J., & Weder, C. (2012) · MRS Bulletin · doi:10.1557/mrs.2012.97 · Cited by 101
Hauschild, M., Mulliken, G. H., Fineman, I., Loeb, G. E., & Andersen, R. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215092109 · Cited by 99
Electrical Performance of Penetrating Microelectrodes Chronically Implanted in Cat Cortex
Kane, S. R., Cogan, S. F., Ehrlich, J., Plante, T. D., McCreery, D. B., & Troyk, P. R. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2248152 · Cited by 97
Grasp Movement Decoding from Premotor and Parietal Cortex
Townsend, B. R., Subasi, E., & Scherberger, H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2451-11.2011 · Cited by 96
A fully implantable 96-channel neural data acquisition system
Rizk, M., Bossetti, C. A., Jochum, T. A., Callender, S. H., Nicolelis, M. A. L., Turner, D. A., & Wolf, P. D. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/2/026002 · Cited by 95
Kinetic Trajectory Decoding Using Motor Cortical Ensembles
Fagg, A. H., Ojakangas, G. W., Miller, L. E., & Hatsopoulos, N. G. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2029313 · Cited by 93
Self-citationLocal field potentials allow accurate decoding of muscle activity
Flint, R. D., Éthier, C., Oby, E. R., Miller, L. E., & Slutzky, M. W. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00832.2011 · Cited by 92
Self-citationAggarwal, V., Mollazadeh, M., Davidson, A. G., Schieber, M. H., & Thakor, N. V. (2013) · Journal of Neurophysiology · doi:10.1152/jn.01038.2011 · Cited by 87
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 87
Statistical Encoding Model for a Primary Motor Cortical Brain-Machine Interface
Shoham, S., Paninski, L., Fellows, M. R., Hatsopoulos, N. G., Donoghue, J. P., & Normann, R. A. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.847542 · Cited by 86
Expanding the primate body schema in sensorimotor cortex by virtual touches of an avatar
Shokur, S., O’Doherty, J. E., Winans, J., Bleuler, H., Lebedev, M., & Nicolelis, M. A. L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308459110 · Cited by 84
Functional role of sensory inputs to the motor cortex
Asanuma, H. (1981) · Progress in Neurobiology · doi:10.1016/0301-0082(81)90015-0 · Cited by 83
Statistical Signal Processing for Neuroscience and Neurotechnology
(2010) · Elsevier eBooks · doi:10.1016/c2009-0-20215-7 · Cited by 79
Wheat, H. E., Goodwin, A., & Browning, A. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-08-05582.1995 · Cited by 79
Ince, N. F., Gupta, R., Arıca, S., Tewfik, A. H., Ashe, J., & Pellizzer, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014384 · Cited by 76
Smart Polymers for Neural Interfaces
Ware, T. H., Simon, D., Rennaker, R. L., & Voit, W. (2013) · Journal of macromolecular science. Part C, Reviews in macromolecular chemistry and physics/Journal of macromolecular science. Reviews in macromolecular chemistry and physics · doi:10.1080/15583724.2012.751924 · Cited by 76
Virtual Active Touch Using Randomly Patterned Intracortical Microstimulation
O’Doherty, J. E., Lebedev, M., Li, Z., & Nicolelis, M. A. L. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2166807 · Cited by 73
Volitional control of single cortical neurons in a brain–machine interface
Moritz, C. T., & Fetz, E. E. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/2/025017 · Cited by 70
The utility of multichannel local field potentials for brain–machine interfaces
Hwang, E. J., & Andersen, R. A. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046005 · Cited by 70
Santucci, D. M., Kralik, J. D., Lebedev, M., & Nicolelis, M. A. L. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04320.x · Cited by 69
Hendrix, C. M., Mason, C. R., & Ebner, T. J. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00016.2009 · Cited by 67
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
Kim, S.-P., Sanchez, J. C., Deniz Erdogmus, B., Rao, Y. N., Wessberg, J., Príncipe, J. C., & Nicolelis, M. A. L. (2003) · Neural Networks · doi:10.1016/s0893-6080(03)00108-4 · Cited by 66
Qi, H., Chen, L. M., & Kaas, J. H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2366-11.2011 · Cited by 61
The effect of chronic intracortical microstimulation on the electrode–tissue interface
Chen, K. H., Dammann, J. F., Boback, J. L., Tenore, F. V., Otto, K. J., Gaunt, R. A., & Bensmaia, S. J. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/2/026004 · Cited by 59
Kinematic properties of on-line error corrections in the monkey
Fishbach, A., Roy, S. A., Bastianen, C., Miller, L. E., & Houk, J. C. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-2264-3 · Cited by 59
Self-citationDischarge properties of primate forearm motor units during isometric muscle activity
Palmer, S. S., & Fetz, E. E. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.5.1178 · Cited by 59
Oby, E. R., Éthier, C., & Miller, L. E. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00331.2012 · Cited by 57
Self-citation(1947) · PubMed · Cited by 54
Performance assessment in brain-computer interface-based augmentative and alternative communication
Thompson, D. E., Blain‐Moraes, S., & Huggins, J. E. (2013) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-12-43 · Cited by 52
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 50
Sensorimotor adaptation changes the neural coding of somatosensory stimuli
Nasir, S. M., Darainy, M., & Ostry, D. J. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00719.2012 · Cited by 49
The functional consequences of chronic, physiologically effective intracortical microstimulation
Parker, R., Davis, T. S., House, P. A., Normann, R. A., & Greger, B. E. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53815-4.00010-8 · Cited by 48
Perceived intensity of somatosensory cortical electrical stimulation
Fridman, G. Y., Blair, H. T., Blaisdell, A. P., & Judy, J. W. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2254-y · Cited by 48
Learning Algorithms for Human–Machine Interfaces
Danziger, Z. C., Fishbach, A., & Mussa-Ivaldi, F. A. (2009) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2013822 · Cited by 47
Multi-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 47
Self-citationCherian, A., Krucoff, M. O., & Miller, L. E. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00553.2010 · Cited by 45
Self-citationMultiple-joint neurons in somatosensory cortex of awake monkeys
Costanzo, R. M., & Gardner, E. P. (1981) · Brain Research · doi:10.1016/0006-8993(81)91197-5 · Cited by 43
Towards autonomous neuroprosthetic control using Hebbian reinforcement learning
Mahmoudi, B., Pohlmeyer, E. A., Prins, N. W., Geng, S., & Sanchez, J. C. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/6/066005 · Cited by 42
Kim, H. K., Carmena, J. M., Biggs, S. J., Hanson, T., Nicolelis, M. A. L., & Srinivasan, M. A. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.900818 · Cited by 42
Kim, T., Branner, A., Gulati, T., & Giszter, S. F. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/045001 · Cited by 39
Cho, Y., & Borgens, R. B. (2013) · Journal of Materials Chemistry B · doi:10.1039/c3tb20505c · Cited by 33
Laying the Ghost of ‘Muscles Versus Movements’
Phillips, C. G. (1975) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/s031716710002028x · Cited by 33
Neural Interfaces for Upper-Limb Prosthesis Control: Opportunities to Improve Long-Term Reliability
Judy, J. W. (2012) · IEEE Pulse · doi:10.1109/mpul.2011.2181026 · Cited by 29
Chhatbar, P. Y., & Francis, J. T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0052286 · Cited by 28
Lack of Adaptation to Random Conflicting Force Fields of Variable Magnitude
Gupta, R., & Ashe, J. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00773.2006 · Cited by 25
Zhang, F., Aghagolzadeh, M., & Oweiss, K. G. (2012) · Journal of Signal Processing Systems · doi:10.1007/s11265-012-0670-x · Cited by 23
Semprini, M., Bennicelli, L., & Vato, A. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346052 · Cited by 23
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
Yu, B. M., Cunningham, J. P., Shenoy, K. V., & Sahani, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69158-7_61 · Cited by 21
Suminski, A. J., Willett, F. R., Fagg, A. H., Bodenhamer, M., & Hatsopoulos, N. G. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091436 · Cited by 15
Decoder remapping to counteract neuron loss in brain-machine interfaces
Héliot, R., Venkatraman, S., & Carmena, J. M. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626694 · Cited by 13
Continuous decoding of grasping tasks for a prospective implantable cortical neuroprosthesis
Carpaneto, J., Raos, V., Umiltà, M. A., Fogassi, L., Murata, A., Gallese, V., & Micera, S. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-84 · Cited by 13
Oby, E. R., Éthier, C., Bauman, M. J., Perreault, E. J., Ko, J. H., & Miller, L. E. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375027-3.00011-9 · Cited by 12
Self-citationDecoding Dexterous Finger Movements in a Neural Prosthesis Model Approaching Real-World Conditions
Egan, J., Baker, J. J., House, P. A., & Greger, B. E. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2210910 · Cited by 10
Research works printed but not linked: 2
- Johannes, M. S. et al. An overview of the developmental process for the modular prosthetic limb. Johns Hopkins Apl. Tech. Digest 30, 207–216 (2011).
- Malarkey, E. & Parpura, V. in Brain Edema XIV Vol. 106 Acta Neurochirurgica Supplementum (eds Czernicki, Z. et al.) 337–341 (Springer, 2010).
Cited by
Sorted by citations
Pursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
Brain–computer interfaces for communication and rehabilitation
Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928
Intracortical microstimulation of human somatosensory cortex
Flesher, S. N., Collinger, J. L., Foldes, S. T., Weiss, J. M., Downey, J. E., Tyler-Kabara, E. C., Bensmaia, S. J., Schwartz, A. B., Boninger, M. L., & Gaunt, R. A. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf8083 · Cited by 704
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Lebedev, M., & Nicolelis, M. A. L. (2017) · Physiological Reviews · doi:10.1152/physrev.00027.2016 · Cited by 695
Metadata
- Authors
- Bensmaia, S. J., & Miller, L. E.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Miller, Lee E.
- ORCID
- Miller, Lee E.
- Venue
- Nature Reviews Neuroscience
- Published
- 2014-04-17
- Volume
- 15
- Issue
- 5
- Pages
- 313-325
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC12278825
- OpenAlex
- W2074613775
- Semantic Scholar
- 8ef38d89080f639fcb493ec37ca04ea6b6c7f6dc
- Cited by
- 368
- References
- 197
- Citations by year
- 2026: 18 · 2025: 24 · 2024: 24 · 2023: 19 · 2022: 32 · 2021: 34 · 2020: 35 · 2019: 30 · 2018: 32 · 2017: 43 · 2016: 43 · 2015: 24 · 2014: 9
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01ns048845-09)
- U.S. Public Health Service (082865)
- National Institute of Neurological Disorders and Stroke (NS-048845, R01-NS-048845, R01NS082865, R01NS053603, #NS053603)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- sensorimotor cortex, prosthetic control, tetraplegia, spinal cord injury, amputation, motor intention decoding, sensory feedback, electrical stimulation of neurons
- MeSH terms
- Cerebral Cortex, Electric Stimulation, Humans, Movement, Paralysis, User-Computer Interface, Prostheses and Implants, Recovery of Function
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
