Wireless Neural Interfaces
Wireless Neural Interface is a type of neural interface that enables bidirectional communication between the nervous system and external devices through wireless transmission of neural signals, eliminating the need for physical tethers while maintaining high-fidelity data transfer and device control.
142
Publications
8K
Citations
663
Authors
207
Institutions
Publications per year
2017–2026
58
142
1–5 of 142
663
13
h-index
12
h-index
10
h-index
8
h-index
8
h-index
1–5 of 663
207
University of Utah
Salt Lake City, United States
13 h-index
76 publications
4.4K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
37 publications
3.7K citations
University of Michigan
Ann Arbor, United States
7 h-index
38 publications
4.2K citations
University of California, Berkeley
Berkeley, United States
7 h-index
28 publications
1.9K citations
National University of Singapore
Singapore, Singapore
6 h-index
25 publications
1.8K citations
University of California San Diego
San Diego, United States
6 h-index
31 publications
1.1K citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
23 publications
734 citations
Stanford University
Stanford, United States
6 h-index
22 publications
555 citations
1–8 of 207
13 publications · 892 citations
13
h-index
6 publications · 209 citations
6
h-index
6 publications · 366 citations
6
h-index
4 publications · 549 citations
4
h-index
3 publications · 723 citations
3
h-index
1–5