Brain-machine interfaces: past, present and future.
By Mikhail A. Lebedev, Miguel A. L. Nicolelis. Trends in Neurosciences, 2006
1,874 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/eb06f203a0b21f8d7e23efed26bdeb9fc7def49a
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
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Ales Holobar
- Christoph Weder
- Ning Jiang
- Jeffrey R. Capadona
- Oskar C. Aszmann
- Luis F. Nicolás-Alonso
In Cellular and Molecular Neuroscience
- Mikhail A. Lebedev
- Xiaorong Gao
- Miguel A. L. Nicolelis
- Tzyy-Ping Jung
- Xiaogang Chen
- Shangkai Gao
- Jonathan R. Wolpaw
- Masaki Nakanishi
In Cognitive Neuroscience
- Xiaorong Gao
- Tzyy-Ping Jung
- Mikhail A. Lebedev
- Xiaogang Chen
- Miguel A. L. Nicolelis
- Shangkai Gao
- Masaki Nakanishi
- Jonathan R. Wolpaw
Citations in the corpus
- High-speed spelling with a noninvasive brain–computer interface (2015, background): “brain – computer interface | electroencephalogram | steady-state visual evoked potentials | joint frequency-phase modulation B rain – computer interfaces (BCIs), which can provide a new communication channel to humans, have received increasing attention in recent years (1, 2).”
- Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides (2016, background): “(3) Our cladding material absorbs light at a rate of 1500 dB/cm.”
- Virtual reality in neuroscience research and therapy (2011, neutral): “Implantable brain–machine interfaces, such as those being developed with non-human primate”
- Cognitive motor processes: the role of motor imagery in the study of motor representations. (2009, background): “Moreover, neural activation during motor imagery may serve as a control device for brain-machine interfaces (deCharms, 2007; Lebedev and Nicolelis, 2006; Weiskopf et al., 2004).”
- Autonomy in Rehabilitation Robotics: An Intersection (2018, neutral): “In addition to these noninvasive neural interfaces, cortical neural interfaces (47, 48) also might be used to operate wheelchairs and wheelchair-mounted robotic arms—with transformative potential for patients with locked-in syndrome, for example.”