Adaptive Neural Interfaces
Adaptive Neural Interface is a neural interface that dynamically modifies its decoding, encoding, or stimulation strategies based on real-time changes in neural signals or user behavior to maintain or improve performance in closed-loop neural systems.
28
Publications
2.1K
Citations
129
Authors
46
Institutions
Publications per year
2017–2026
10
Variants
Adaptive Neural Interface
28
Carmen Vidaurre, A. Schloogl, Rafael Cabeza et al. · IEEE Transactions on Biomedical Engineering · 2006 · 195 citations
An adaptive P300-based control system
Jing Jin, Brendan Z. Allison, Eric W. Sellers et al. · Journal of Neural Engineering · 2011 · 161 citations
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University of California, Berkeley
Berkeley, United States
5 h-index
21 publications
1.2K citations
Graz University of Technology
Graz, Austria
2 h-index
7 publications
1.2K citations
RWTH Aachen University
Aachen, Germany
2 h-index
2 publications
53 citations
Stanford University
Stanford, United States
2 h-index
4 publications
255 citations
McGovern Institute for Brain Research
Cambridge, United States
1 h-index
2 publications
590 citations
University of Graz
Graz, Austria
1 h-index
1 publications
161 citations
Suzhou Research Institute
Suzhou, China
1 h-index
3 publications
867 citations
Bernstein Center for Computational Neuroscience Freiburg
Freiburg, Germany
1 h-index
4 publications
300 citations
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2 publications · 92 citations
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2 publications · 90 citations
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2 publications · 355 citations
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2 publications · 148 citations
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Conference · 1 publications · 46 citations
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