Brain–machine interfaces to restore motor function and probe neural circuits
By Miguel A. L. Nicolelis. Nature Reviews Neuroscience, 2003
565 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/b05ba16408d73eb16d69170866758d5686ba0a3f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Niels Birbaumer
- Leonardo G. Cohen
- Lambros Malafouris
- György Buzsáki
- He Cui
- Richard A. Andersen
In Cognitive Neuroscience
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Niels Birbaumer
- Leonardo G. Cohen
- He Cui
- Lambros Malafouris
- György Buzsáki
- Richard A. Andersen
Citations in the corpus
- Neuronal variability: noise or part of the signal? (2005, background): “However, because of the variability, the number of neurons that would be required for a disabled subject to accurately control a movement using a neural prosthesis is estimated to range from tens to thousands of cell”
- Beads for a Plastic Mind: the ‘Blind Man's Stick’ (BMS) Hypothesis and the Active Nature of Material Culture (2008, background): “For instance, BrainMachine Interfaces (BMIs) now make it possible for a monkey or human to operate remote devices directly via neural activity (see Nicolelis 2001; 2003; Donoghue 2002).3 Of course, impressive as the ability to control a robotic hand by ‘thought’ alone might seem, it is,…”
- Intention, action planning, and decision making in parietal-frontal circuits. (2009, background): “As such, motor-prosthetics have used this activity to guide the trajectory of a cursor or a robot limb (Schwartz, 2004; Velliste et al., 2008; Nicolelis, 2003; Donoghue, 2002; Hochberg et al., 2006).”
- Progress Towards Biocompatible Intracortical Microelectrodes for Neural Interfacing Applications (2014, background): “(5) In brain machine interface (BMI) applications, a recording device is used to extract volitional intent in the form of consciously modulated neuronal signals.”
- Brain-machine interfaces: past, present and future. (2006, background): “and Nicolelis, M.A. (2004) Reduction of single-neuron firing”
- Brain–computer interfaces: communication and restoration of movement in paralysis (2007, background): “Generation of movement from single cell 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…”
- Rhythms of the brain (2006, background): “For sensory perturbation of HVS, see Wiest and Nicolelis (2003). These authors also emphasize the similarity between HVS and mu rhythm in humans. Buzsáki et al. (1991), Nicolelis et al. (1995), Kandel and Buzsáki (1993), and Berke et al. (2004) illustrate phase-locked unit activity in numerous brain”