Computational Neuroscience Models is a singular academic concept referring to formal, mathematically specified frameworks that simulate, analyze, or predict the dynamics of neural systems by integrating biological principles with computational algorithms to represent electrophysiological processes at multiple scales.
1.5K
Publications
107.5K
Citations
5.2K
Authors
1.5K
Institutions
Publications per year
2017–2026
664
Publications
1.5K
A Toolbox for Representational Similarity Analysis
Hamed Nili, Cai Wingfield, Alexander Walther et al. · PLoS Computational Biology · 2014 · 1.1K citations · Full text
1–5 of 1.5K
Authors
5.2K
- AD
17
h-index
- PG
11
h-index
- APAndrew P. Davison
Unit of Neuroscience Information and Complexity, France
15 publications · 1.1K citations
11
h-index
- CC
10
h-index
- WM
10
h-index
1–5 of 5.2K
Institutions
1.5K
University College London
London, United Kingdom
37 h-index
160 publications
16.8K citations
Centre National de la Recherche Scientifique
Paris, France
27 h-index
123 publications
5.8K citations
University of Oxford
Oxford, United Kingdom
26 h-index
84 publications
5.3K citations
Yale University
New Haven, United States
26 h-index
99 publications
10.2K citations
University of California San Diego
San Diego, United States
24 h-index
81 publications
5.8K citations
Wellcome Centre for Human Neuroimaging
London, United Kingdom
24 h-index
56 publications
5K citations
Harvard University
Cambridge, United States
23 h-index
67 publications
5.4K citations
New York University
New York, United States
23 h-index
61 publications
2.7K citations
1–8 of 1.5K
Venues
- Journal of Neuroscience
53 publications · 7.3K citations
42
h-index
- PLoS Computational Biology
73 publications · 7K citations
41
h-index
- Frontiers in Neuroinformatics
59 publications · 5.3K citations
36
h-index
- Proceedings of the National Academy of Sciences
PNAS · 23 publications · 2.6K citations
22
h-index
- Frontiers in Computational Neuroscience
44 publications · 1.4K citations
21
h-index
1–5