Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex
By S. Suner, Matthew R. Fellows, C. Vargas-Irwin, Gordon Kenji Nakata, John P. Donoghue. IEEE transactions on neural systems and rehabilitation engineering, 2005
447 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/54666eda6ab32d5e0d02d08e82c46294ed0823cc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Niels Birbaumer
- Leonardo G. Cohen
- John P. Donoghue
- Leigh R. Hochberg
- Krishna V. Shenoy
- Christoph Weder
- Jeffrey R. Capadona
- Karunesh Ganguly
In Cellular and Molecular Neuroscience
- John P. Donoghue
- Niels Birbaumer
- Leonardo G. Cohen
- Krishna V. Shenoy
- Karunesh Ganguly
- John P. Cunningham
- Mehdi Jorfi
- Leigh R. Hochberg
In Cognitive Neuroscience
- John P. Cunningham
- Krishna V. Shenoy
- John P. Donoghue
- Niels Birbaumer
- Leonardo G. Cohen
- Mark M. Churchland
- Adam Kohn
- Leigh R. Hochberg
Citations in the corpus
- Bridging the brain to the world: a perspective on neural interface systems. (2008, unknown): “Suner et al. (2005) showed with this array in monkeys that more than 80% of the original data channels continued to provide signals after 1 year of monitoring.”
- Emergence of a Stable Cortical Map for Neuroprosthetic Control (2009, background): “, interspike interval [ISI] distribution) of each putatively stable single unit did not significantly change from day to day [31].”
- Using a common average reference to improve cortical neuron recordings from microelectrode arrays. (2009, background): “1 or greater corresponded well with observations of “moderate or better” unit quality based on SNR values from similar recording studies (Henze et al. 2000; Ludwig et al. 2006; Suner et al. 2005).”
- Spatial and temporal scales of neuronal correlation in primary visual cortex (2008, methodology): “To quantify the quality of the recording, we computed the signal-to-noise ratio (SNR) of each candidate unit as the ratio of the average waveform amplitude to the SD of the waveform noise (Nordhausen et al., 1996; Suner et al., 2005; Kelly et al., 2007).”
- Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, background): “Additionally a number of primate studies have shown the usefulness of the UEA in BMI applications, such as cursor and prostheses control [57, 58].”
- Brain–computer interfaces: communication and restoration of movement in paralysis (2007, methodology): “…firing activity within the motor cortex (Nicolelis, 2003) or from parietal neuronal pools (Scherberger et al. 2005) in animals and human patients (Hochberg et al. 2006) has been accomplished using densely packed microelectrode arrays of up to several hundred microelectrodes (Suner et al. 2005).”
- Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia (2008, methodology): “Putative single neurons and apparent multi-neuron activity with consistent waveforms [31] (both referred to here as ‘units’) were accepted or rejected for inclusion in the study at the beginning of each session based on visual inspection of the isolated waveforms with no further criteria applied to ”
- Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film (2006, result): “These four categories correspond well with observations of unit quality based on signal-to-noise ratio made in similar recording studies [40, 41].”
- Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex (2011, result): “These results are consistent with previous studies in which large changes were observed between days [34, 38].”