Single-neuron Decoding
Single-Neuron Decoding is a neural decoding method that identifies and interprets the functional relationship between individual neuronal spiking activity and specific sensory, cognitive, or behavioral variables through statistical or machine learning models.
47
Publications
3.5K
Citations
176
Authors
101
Institutions
Publications per year
2017–2026
15
Parents
47
1–5 of 47
176
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 176
101
University of California, Los Angeles
Los Angeles, United States
4 h-index
5 publications
759 citations
California Institute of Technology
Pasadena, United States
4 h-index
15 publications
897 citations
Max Planck Society
Munich, Germany
3 h-index
9 publications
966 citations
Princeton University
Princeton, United States
3 h-index
12 publications
1.1K citations

University of Tübingen
Tübingen, Germany
3 h-index
5 publications
552 citations
University of Bonn
Bonn, Germany
3 h-index
13 publications
1.2K citations
Brown University
Providence, United States
3 h-index
10 publications
1.1K citations
The University of Texas at Austin
Austin, United States
2 h-index
5 publications
79 citations
1–8 of 101
10 publications · 910 citations
10
h-index
5 publications · 304 citations
5
h-index
JN · 4 publications · 184 citations
4
h-index
4 publications · 498 citations
4
h-index
3 publications · 71 citations
3
h-index
1–5