Brain-machine interface: Instant neural control of a movement signal

By M. Serruya, Nicholas G. Hatsopoulos, Liam Paninski, Matthew R. Fellows, John P. Donoghue. Nature, 2002

812 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/5c9192c28df85e999c430bb25c6df9c3913688f6

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Electrical and Electronic Engineering

Citations in the corpus

On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. (2004, neutral): “demonstrated the use of implanted multi-electrode arrays in the motor cortex of monkeys enabling instant neural control to overcome this problem ( Serruya et al 2002 ).”
Speech synthesis from neural decoding of spoken sentences (2019, neutral): “Neural prosthetic control was first demonstrated in participants without disabilities 33,34,35 before translating the technology to participants with tetraplegia 36,37,38,39 .”
ELECTROENCEPHALOGRAPHIC (EEG) CONTROL OF THREE-DIMENSIONAL MOVEMENT (2010, positive): “…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).”
Maximum likelihood estimation of cascade point-process neural encoding models (2004, neutral): “This is interesting especially in the context of neural prosthetic design ( Serruya et al 2002, Donoghue 2002), but also more generally in the analysis of neural codes (Rieke et al 1997).”
Prediction of arm movement trajectories from ECoG-recordings in humans. (2008, neutral): “Invasive recording techniques with intracortical icroelectrodes have mainly been used in animal experiments Serruya et al., 2002; Taylor et al., 2002; Carmena et al., 2003), n some cases also in human experiments (Kennedy et al., 2004; ochberg et al., 2006).”
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans (2007, neutral): “Invasive BCIs use activity from multiple neurons recorded within the brain [3] [4] [5] [6].”
Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia (2008, positive): “Motivated by previous intracortical brain–computer interface (BCI) studies that took L to be approximately a 1 s history of firing rates [1] [2] [3] [4], here L was chosen to be 20 (bins) when 50 ms bins were used or 10 (bins) when 100 ms bins were used.”
Brain-computer interfaces for communication and control. (2002, background): “Initial studies (Craggs, 1975; Kennedy and Bakay, 1998; Chapin et al., 1999; Kennedy et al., 2000; Taylor and Schwartz, 2001; Serruya et al., 2002) suggest that neuronal activity can function without movement, but the long-term stability of this function is not yet established.”
Single-Neuron Stability during Repeated Reaching in Macaque Premotor Cortex (2007, neutral): “This is the algorithm used by Serruya et al. (2002), Carmena et al. (2005), and Hochberg et al. (2006) with small differences: “Y” pos(1). . . pos(t) “X” “B” neur1lag1(1) . . . neur1lag10(1) . . . neurNlag10(1). . . . . . . . . . . . . . . neur1lag1(t) . . . . . . . . . neurNlag10(t) Bneur1lag1. .…”
Bridging the brain to the world: a perspective on neural interface systems. (2008, positive): “Although the roots of NIs can be traced back well into the last century, scientific as well as public interest in the potential for NI technology was ignited by demonstrations of monkeys substituting neural signals from their motor cortex for hand motions ( Serruya et al., 2002; Taylor et al., 2002”