Neural Data Analysis
Neural Data Analysis is a methodological subfield of computational neuroscience and neural engineering that develops and applies quantitative, statistical, and computational techniques to extract, model, and interpret information from experimentally or clinically acquired neural signals.
5K
Publications
475.8K
Citations
17.9K
Authors
3.6K
Institutions
Publications per year
2017–2026
2.4K
5K
Statistical parametric maps in functional imaging: A general linear approach
Karl Friston, Andrew P. Holmes, Keith J. Worsley et al. · Human Brain Mapping · 1994 · 9.8K citations
1–5 of 5K
17.9K
51
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30
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28
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Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France
28 publications · 11K citations
24
h-index
24
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1–5 of 17.9K
3.6K
University College London
London, United Kingdom
69 h-index
446 publications
121K citations
Stanford University
Stanford, United States
58 h-index
378 publications
90.5K citations
Harvard University
Cambridge, United States
57 h-index
386 publications
46.5K citations
Yale University
New Haven, United States
53 h-index
366 publications
43.7K citations
University of Oxford
Oxford, United Kingdom
50 h-index
267 publications
84.4K citations

Centre National de la Recherche Scientifique
Paris, France
48 h-index
267 publications
25.8K citations

McGill University
Montreal, Canada
47 h-index
359 publications
86.4K citations
Inserm
Paris, France
47 h-index
221 publications
25.3K citations
1–8 of 3.6K
471 publications · 74.5K citations
121
h-index
164 publications · 31.6K citations
66
h-index
161 publications · 45.4K citations
50
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113 publications · 16.9K citations
47
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123 publications · 13.5K citations
45
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1–5