Neuronal ensemble control of prosthetic devices by a human with tetraplegia

By Leigh R. Hochberg, M. Serruya, G. Friehs, Jon A. Mukand, M. Saleh, A. Caplan, A. Branner, David Chen, R. Penn, John P. Donoghue. Nature, 2006

3,423 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/a8b16f6bf073464912d8cd24f0dff7ff03fa7f18

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In Biomedical Engineering

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia (2008, methodology): “A training procedure was developed previously (see Hochberg et al [13]) to simultaneously obtain neural activity patterns and cursor kinematics to enable the estimation of the decoding algorithm parameters without accompanying limb movements.”
Brain-computer interfaces in medicine. (2012, methodology): “Using the signals obtained from this electrode array, a BCI system enabled the patient to open simulated e-mail, operate a television, open and close a prosthetic hand, and perform rudimentary actions with a robotic arm.(11) In 2011, Krusienski and Shih(12) demonstrated that signals recorded directl”
Functional network reorganization during learning in a brain-computer interface paradigm (2008, neutral): “the formula ( ) ( )(2) ˆ ˆ μ μ SE V = (15)”
Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, methodology): “Using a variety of signal transducing systems and processing algorithms, extracted neural signals can then be used to drive external devices such as limb prostheses or computers [6–12].”
A comprehensive review of EEG-based brain–computer interface paradigms (2019, background): “Imagined body kinematics (IBK) is a motor imagery paradigm that originated from invasive BCI technology [9, 10].”
High performance communication by people with paralysis using an intracortical brain-computer interface (2017, methodology): “…of the BCI itself (independent of a phrase or keyboard layout), performance was also measured using a cued-target acquisition task (‘grid task’ [ Hochberg et al., 2006 ; Nuyujukian et al., 2015 ]), in which square targets were arranged in a 6 (cid:2) 6 grid, and a randomly selected target was…”
Brain–computer interfaces: communication and restoration of movement in paralysis (2007, methodology): “Donoghue (Hochberg et al. 2006) implanted an array of 100 microelectrodes in the primary motor cortex of several high spinal cord patients and one patient with a pontine infarct.”
A brain-computer interface for long-term independent home use (2010, background): “BCIs remain confi ned to the laboratory or to limited home demonstrations that require close technical oversight (2,3).”
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control (2019, methodology): “Therefore, to better estimate the difference between DT and CP task training, and contrary to previouswork (18, 29), our initial CP task allowed the cursor and target to fluidly wrap from one side of the workspace to the other (top to bottom, left to right, and vice versa) upon crossing an edge (Fig”
Silent speech interfaces (2010, methodology): “In humans, this particular decoding modality has been used to provide mouse pointer control for BCIs in paralyzed individuals (Kennedy et al., 2000; Hochberg et al., 2006; Kim et al., 2007; Truccolo et al., 2008).”
Motor imagery and action observation: cognitive tools for rehabilitation (2007, methodology): “(See also Hochberg et al. 2006, who showed that neuronal activity recorded through a 96-microelectrode array implanted in primary motor cortex related to the intended hand motion could be used for modulating cortical spiking patterns three years after spinal cord injury).”