Nonlinear Decoders
Nonlinear Decoders is a neural decoding method that employs nonlinear transformations to map neural activity patterns into behavioral or cognitive variables, distinguishing it from linear decoders by its capacity to model complex, non-additive relationships in neural data.
26
Publications
1.1K
Citations
87
Authors
51
Institutions
Publications per year
2017–2026
6
Parents
26
Jie Liu, Yupeng Ren, Dali Xu et al. · IEEE Transactions on Biomedical Engineering · 2019 · 78 citations
Engineering, Biomedical Engineering, Rehabilitation Medicine +17
J. Hagenauer, M. Winklhofer · 2002 · 75 citations
Engineering, Computer Engineering, Electrical Engineering +14
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51
Princeton University
Princeton, United States
2 h-index
6 publications
194 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
179 citations
University of Maryland, College Park
College Park, United States
2 h-index
5 publications
276 citations
Oregon Health & Science University
Portland, United States
1 h-index
1 publications
40 citations

Allen Institute for Brain Science
Seattle, United States
1 h-index
1 publications
45 citations
Islamic Azad University of Urmia
Urmia, Iran
1 h-index
1 publications
70 citations

University of Maryland, Baltimore
Baltimore, United States
1 h-index
1 publications
78 citations
FH Aachen
Aachen, Germany
1 h-index
3 publications
30 citations
1–8 of 51
JN · 3 publications · 164 citations
3
h-index
2 publications · 68 citations
2
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2 publications · 63 citations
2
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Repository · 2 publications · 83 citations
2
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1 publications · 21 citations
1
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