Brain-machine Interface Interfaces
Brain-Machine Interface Interfaces is a conceptual framework within neural biomaterials that specifies the structural and functional integration mechanisms between neural tissue and artificial systems, distinguishing itself by enabling bidirectional signal transduction for real-time communication and control.
99
Publications
5.2K
Citations
417
Authors
181
Institutions
Publications per year
2017–2026
32
Parents
99
A Brain-Machine Interface Enables Bimanual Arm Movements in Monkeys
Peter J. Ifft, Solaiman Shokur, Zheng Li et al. · Science Translational Medicine · 2013 · 176 citations · Full text
Amy L. Orsborn, Siddharth Dangi, Helene G. Moorman et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2012 · 171 citations
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181
Duke University
Durham, United States
6 h-index
20 publications
1.8K citations
University of Florida
Gainesville, United States
6 h-index
22 publications
1.4K citations
The University of Osaka
Osaka, Japan
5 h-index
24 publications
652 citations

Universitat de Miguel Hernández d'Elx
Elche, Spain
5 h-index
24 publications
1.3K citations
National Rehabilitation Center for Persons with Disabilities
Saitama, Japan
4 h-index
15 publications
584 citations
University of California, Berkeley
Berkeley, United States
4 h-index
17 publications
1.4K citations
Harvard University
Cambridge, United States
4 h-index
12 publications
1K citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
192 citations
1–8 of 181
5 publications · 191 citations
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4 publications · 157 citations
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4 publications · 949 citations
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4 publications · 212 citations
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4 publications · 318 citations
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