Neural Signal Decoding
Neural Signal Decoding is a computational method that identifies and translates neural activity patterns into meaningful output commands or representations by interpreting electrophysiological signals from the nervous system.
449
Publications
37.3K
Citations
1.7K
Authors
625
Institutions
Publications per year
2017–2026
251
449
Decoding the visual and subjective contents of the human brain
Yukiyasu Kamitani, Frank Tong · Nature Neuroscience · 2005 · 1.9K citations · Full text
NeuroKit2: A Python toolbox for neurophysiological signal processing
Dominique Makowski, Tam Pham, Zen Juen Lau et al. · Behavior Research Methods · 2021 · 1.3K citations · Full text
Speech synthesis from neural decoding of spoken sentences
Gopala K. Anumanchipalli, Josh Chartier, Edward F. Chang · Nature · 2019 · 899 citations · Full text
1–5 of 449
1.7K
10
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University of California, San Francisco, United States
8 publications · 1.5K citations
8
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8
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8
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7
h-index
1–5 of 1.7K
625
Stanford University
Stanford, United States
17 h-index
63 publications
10K citations
Columbia University
New York, United States
17 h-index
54 publications
3.2K citations
Harvard University
Cambridge, United States
16 h-index
49 publications
2.7K citations
Neurological Surgery
Rockville Centre, United States
15 h-index
44 publications
5.3K citations
Massachusetts General Hospital
Boston, United States
14 h-index
58 publications
3.2K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
11 h-index
33 publications
3.8K citations
California Institute of Technology
Pasadena, United States
11 h-index
32 publications
1.7K citations
Brown University
Providence, United States
11 h-index
42 publications
3.1K citations
1–8 of 625
42 publications · 2.9K citations
26
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27 publications · 1.7K citations
21
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19 publications · 929 citations
15
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Repository · 18 publications · 392 citations
14
h-index
13 publications · 630 citations
13
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