Adaptive Neural Decoding
Adaptive Neural Decoding is a neural decoding framework that dynamically updates its decoding model parameters in response to changes in neural signal properties or behavioral contexts to maintain accurate interpretation of neural activity over time.
19
Publications
1.8K
Citations
60
Authors
36
Institutions
Publications per year
2017–2026
8
Parents
19
Efficiency and ambiguity in an adaptive neural code
Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek et al. · Nature · 2001 · 897 citations
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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University of California, Berkeley
Berkeley, United States
4 h-index
11 publications
1.1K citations
Stanford University
Stanford, United States
3 h-index
5 publications
345 citations
Brown University
Providence, United States
2 h-index
8 publications
169 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
6 publications
108 citations
University of Tsukuba
Tsukuba, Japan
1 h-index
1 publications
59 citations
University of California, Santa Cruz
Santa Cruz, United States
1 h-index
1 publications
54 citations
École Polytechnique
Palaiseau, France
1 h-index
1 publications
59 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
1 h-index
1 publications
39 citations
1–8 of 36
2 publications · 126 citations
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Repository · 1 publications · 20 citations
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1 publications · 23 citations
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1 publications · 50 citations
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Repository · 1 publications · 13 citations
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