Cortical control of a prosthetic arm for self-feeding

By Rachel Lee, Yan Ma Contribution, M. Velliste, Sagi Perel, M. Spalding, Andrew S. Whitford, Andrew B. Schwartz, Univ Pittsburg Motorlab. Nature, 2008

1,684 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e3b550471679e8475ed907c29ba6e6953c6ab8eb

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Electrical and Electronic Engineering

Citations in the corpus

Brain-Computer Interfaces: A Gentle Introduction (2009, positive): “In fact, several approaches have been investigated to con-trol prostheses with invasive and non-invasive BCIs [39, 40, 44].”
Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic Signals (2011, background): “…acquired from microelectrodes implanted within cortex (Taylor et al., 2002; Hatsopoulos et al., 2004; Carmena et al., 2005; Lebedev et al., 2005; Velliste et al., 2008), but also by ECoG (Wolpaw and McFarland, 2004; McFarland et al., 2008, 2010; Schwartz et al., 2001; Koyama et al., 2010 for…”
Stretchable, Transparent, Ionic Conductors (2013, background): “Examples of applications include electrode arrays, where the electronics of medical instruments meet the ionics of tissues and cells ( 1 ), and brain-machine interfaces, through which cortical ionic impulses control prosthetic arms ( 2 ).”
ELECTROENCEPHALOGRAPHIC (EEG) CONTROL OF THREE-DIMENSIONAL MOVEMENT (2010, methodology): “…high-resolution signals are essential, and thus they have used intracortical electrodes to record neuronal action potentials or local ﬁeld potentials (Serruya et al 2002, Taylor et al 2002, Carmena et al 2003, Ganguly and Carmena 2009, Andersen et al 2004, Hochberg et al 2006, Velliste et al 2008).”
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex (2011, background): “7 Author to whom any correspondence should be addressed.”
Brain Computer Interfaces, a Review (2012, background): “The most recent studies with monkeys investigated the control of prosthetic devices for direct real-time interaction with the physical environment [78–81].”
Functional network reorganization during learning in a brain-computer interface paradigm (2008, methodology): “Using (16) we combined the rotated units with formula (13) to obtain PERT μ̂ and we”
Emergence of a Stable Cortical Map for Neuroprosthetic Control (2009, background): “Previous studies suggest that such continuous-control, multistep tasks are significantly more difficult than single-step tasks [6,12].”
Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance (2009, neutral): “For prosthetic robot arms, another dominant control approach is to continuously update the position of the end-effector in close-loop through the human; for the control command, for example, a joystick in the shoes [4] or recording from the motor cortex [5] have been explored.”
An overview of the Internet of Things for people with disabilities (2012, background): “In Velliste et al. (2008), it is shown how primates restore self-feeding by controlling a 3-”