Electrophysiological Data Analysis
Electrophysiological Data Analysis is a methodological framework within neural data analysis that specifically involves the processing, interpretation, and modeling of electrical activity recorded directly from neurons or neural populations to infer functional dynamics, connectivity, and coding properties of the nervous system.
981
Publications
76.5K
Citations
4.3K
Authors
1.2K
Institutions
Publications per year
2017–2026
220
Parents
981
Inferring synaptic excitation/inhibition balance from field potentials
Richard Gao, Erik Peterson, Bradley Voytek · NeuroImage · 2017 · 1.1K citations
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University of California, Berkeley
Berkeley, United States
21 h-index
48 publications
6K citations
University of California San Diego
San Diego, United States
20 h-index
63 publications
7.9K citations

Centre National de la Recherche Scientifique
Paris, France
19 h-index
65 publications
2.9K citations
Inserm
Paris, France
18 h-index
68 publications
4.6K citations
Harvard University
Cambridge, United States
18 h-index
46 publications
1.9K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
17 h-index
38 publications
48.8K citations
University of Washington
Seattle, United States
16 h-index
40 publications
3K citations
University College London
London, United Kingdom
16 h-index
47 publications
8K citations
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32 publications · 2.9K citations
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23 publications · 5.5K citations
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22 publications · 728 citations
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Repository · 29 publications · 3.3K citations
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17 publications · 844 citations
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