Low-dimensional Neural Dynamics
Low-Dimensional Neural Dynamics is a theoretical construct in systems neuroscience that characterizes the collective activity of large neural populations as evolving within a reduced, lower-dimensional latent subspace of neural state space, capturing essential functional patterns and temporal structure while filtering out redundant or noisy dimensions in neural representation.
188
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12.6K
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530
Authors
292
Institutions
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2017–2026
115
188
A theory of multineuronal dimensionality, dynamics and measurement
Peiran Gao, Eric M. Trautmann, Byron M. Yu et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2017 · 362 citations · Full text
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Princeton University
Princeton, United States
15 h-index
67 publications
3.3K citations
Stanford University
Stanford, United States
14 h-index
44 publications
9K citations
École Normale Supérieure - PSL
Paris, France
13 h-index
30 publications
1.9K citations
Columbia University
New York, United States
12 h-index
27 publications
2.7K citations
Inserm
Paris, France
11 h-index
23 publications
1.8K citations

Howard Hughes Medical Institute
Chevy Chase, United States
11 h-index
18 publications
2.1K citations
Laboratoire de Neurosciences Cognitives
Paris, France
10 h-index
25 publications
1.8K citations
University of Washington
Seattle, United States
9 h-index
18 publications
690 citations
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Repository · 17 publications · 728 citations
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11 publications · 589 citations
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9 publications · 1.1K citations
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Repository · 8 publications · 252 citations
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8 publications · 1.4K citations
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