Neural Population Models
Neural Population Models is a mathematical framework that describes the collective dynamics of large groups of neurons by modeling their average activity and interactions, distinguishing it from single-neuron models through its focus on population-level statistical behavior and emergent network properties.
540
Publications
43K
Citations
1.3K
Authors
579
Institutions
Publications per year
2017–2026
162
Variants
Neural Population Modeling
Parents
540
Weak pairwise correlations imply strongly correlated network states in a neural population
Elad Schneidman, Michael J. Berry, Ronen Segev et al. · Nature · 2006 · 1.9K citations · Full text
High-dimensional geometry of population responses in visual cortex
Carsen Stringer, Marius Pachitariu, Nicholas A. Steinmetz et al. · Nature · 2019 · 642 citations · Full text
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579

Centre National de la Recherche Scientifique
Paris, France
22 h-index
57 publications
3.3K citations
University College London
London, United Kingdom
19 h-index
53 publications
6.9K citations
Columbia University
New York, United States
19 h-index
30 publications
3.3K citations

Howard Hughes Medical Institute
Chevy Chase, United States
19 h-index
43 publications
5K citations
Stanford University
Stanford, United States
18 h-index
77 publications
15.3K citations
University of Chicago
Chicago, United States
16 h-index
29 publications
10.4K citations
Inserm
Paris, France
16 h-index
47 publications
3.1K citations
New York University
New York, United States
16 h-index
31 publications
2.4K citations
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29 publications · 2.1K citations
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29 publications · 1.6K citations
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Repository · 20 publications · 554 citations
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PRL · 14 publications · 1.7K citations
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15 publications · 442 citations
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