Bidirectional Brain-computer Interfaces
Bidirectional Brain-Computer Interfaces is a neural control system that enables real-time, two-way communication between the brain and an external device by simultaneously decoding neural signals to generate outputs and encoding sensory feedback to stimulate neural activity.
24
Publications
1.4K
Citations
97
Authors
57
Institutions
Publications per year
2017–2026
13
Variants
Closed-loop Brain-computer Interfaces
24
Brain-machine interfaces: an overview
Mikhail Lebedev · Translational Neuroscience · 2014 · 109 citations · Full text
Perception of microstimulation frequency in human somatosensory cortex
Christopher Hughes, Sharlene N. Flesher, Jeffrey M. Weiss et al. · eLife · 2021 · 94 citations · Full text
John Patrick Uehlin, William Anthony Smith, Venkata Rajesh Pamula et al. · IEEE Journal of Solid-State Circuits · 2020 · 76 citations
Engineering, Biomedical Engineering, Electrical Engineering +17
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57
University of Pittsburgh
Pittsburgh, United States
6 h-index
37 publications
6K citations
Stanford University
Stanford, United States
5 h-index
13 publications
496 citations
Center for the Neural Basis of Cognition
Pittsburgh, United States
5 h-index
23 publications
4.3K citations
University of Chicago
Chicago, United States
4 h-index
5 publications
670 citations
University of Washington
Seattle, United States
4 h-index
16 publications
582 citations

Italian Institute of Technology
Genoa, Italy
3 h-index
13 publications
588 citations
Center for Neuroscience and Cognitive Systems
Rovereto, Italy
3 h-index
8 publications
354 citations
Northwestern University
Evanston, United States
3 h-index
5 publications
94 citations
1–8 of 57
3 publications · 161 citations
3
h-index
2 publications · 92 citations
2
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Repository · 2 publications · 50 citations
2
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1 publications · 11 citations
1
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1 publications · 24 citations
1
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1–5