Principles of neural ensemble physiology underlying the operation of brain–machine interfaces
By Miguel A. L. Nicolelis, Mikhail A. Lebedev. Nature Reviews Neuroscience, 2009
437 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/53baf5e5890455b41307bfd158682f1ab9eab19c
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
- Carlos Pedreira
- H. Rey
- R. Quian Quiroga
- Ganesh R. Naik
- Niels Birbaumer
- Jeffrey S. Bowers
In Cognitive Neuroscience
- Mikhail A. Lebedev
- Miguel A. L. Nicolelis
- Carlos Pedreira
- H. Rey
- R. Quian Quiroga
- Ganesh R. Naik
- Niels Birbaumer
- Jeffrey S. Bowers
Citations in the corpus
- Progress in Brain Computer Interface: Challenges and Opportunities (2019, background): “Behavioral activities are likely to be distributed across three-dimensional cortical-subcortical networks and that cannot be captured within single unit recordings [95].”
- Past, present and future of spike sorting techniques (2015, background): “Furthermore, the design of low-power implantable wireless interfaces will also boost the development of brain-machine interfaces (BMIs) to control prosthetic devices with brain activity, which could be used for therapeutic purposes (Homer et al., 2013; Nicolelis and Lebedev, 2009).”
- Neural syntax: cell assemblies, synapsembles and readers (2010, neutral): “Panels (A) and (B) and panel (C) are reprinted with permission from Nicolelis and Lebedev (2009) and Fetz (2007), respectively. syntax multiple words can overlap and generate both first-order and higher-order patterns, much like inmusic.”
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “There is mounting evidence against such a parcellation scheme of brain functions and in favor of a more distributed mode of information processing in the primate cortex (96, 253, 497, 583, 675).”