Sung-Phil Kim, John D Simeral, Leigh R Hochberg, John P Donoghue, Michael J Black. J Neural Eng 2008
Times Cited: 205
Times Cited: 205
Times Cited
Times Co-cited
Similarity
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.
Leigh R Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y Masse, John D Simeral, Joern Vogel, Sami Haddadin, Jie Liu, Sydney S Cash, Patrick van der Smagt,[...]. Nature 2012
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High-performance neuroprosthetic control by an individual with tetraplegia.
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Neuronal ensemble control of prosthetic devices by a human with tetraplegia.
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Direct cortical control of 3D neuroprosthetic devices.
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Cortical control of a prosthetic arm for self-feeding.
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Learning to control a brain-machine interface for reaching and grasping by primates.
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A high-performance neural prosthesis enabled by control algorithm design.
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Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array.
J D Simeral, S-P Kim, M J Black, J P Donoghue, L R Hochberg. J Neural Eng 2011
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Instant neural control of a movement signal.
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Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human.
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Clinical translation of a high-performance neural prosthesis.
Vikash Gilja, Chethan Pandarinath, Christine H Blabe, Paul Nuyujukian, John D Simeral, Anish A Sarma, Brittany L Sorice, János A Perge, Beata Jarosiewicz, Leigh R Hochberg,[...]. Nat Med 2015
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Emergence of a stable cortical map for neuroprosthetic control.
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Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.
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Restoring cortical control of functional movement in a human with quadriplegia.
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Bayesian population decoding of motor cortical activity using a Kalman filter.
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Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.
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Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface.
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Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia.
Beata Jarosiewicz, Nicolas Y Masse, Daniel Bacher, Sydney S Cash, Emad Eskandar, Gerhard Friehs, John P Donoghue, Leigh R Hochberg. J Neural Eng 2013
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Restoration of grasp following paralysis through brain-controlled stimulation of muscles.
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A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.
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Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.
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Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex.
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Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration.
A Bolu Ajiboye, Francis R Willett, Daniel R Young, William D Memberg, Brian A Murphy, Jonathan P Miller, Benjamin L Walter, Jennifer A Sweet, Harry A Hoyen, Michael W Keith,[...]. Lancet 2017
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Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control.
Amy L Orsborn, Helene G Moorman, Simon A Overduin, Maryam M Shanechi, Dragan F Dimitrov, Jose M Carmena. Neuron 2014
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Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates.
James C Barrese, Naveen Rao, Kaivon Paroo, Corey Triebwasser, Carlos Vargas-Irwin, Lachlan Franquemont, John P Donoghue. J Neural Eng 2013
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High performance communication by people with paralysis using an intracortical brain-computer interface.
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A recurrent neural network for closed-loop intracortical brain-machine interface decoders.
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Neural constraints on learning.
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Neural Point-and-Click Communication by a Person With Incomplete Locked-In Syndrome.
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A high-performance brain-computer interface.
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Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions.
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Unscented Kalman filter for brain-machine interfaces.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.