Representational Geometry
Representational Geometry is a theoretical framework in computational neuroscience that characterizes the geometric structure of activity patterns in neural populations, distinguishing itself by formalizing how stimulus representations are organized in high-dimensional neural state spaces according to their informational and functional relationships.
89
Publications
8.3K
Citations
276
Authors
144
Institutions
Publications per year
2017–2026
54
Parents
89
Representation of Geometric Borders in the Entorhinal Cortex
Trygve Solstad, Emilio Kropff, May‐Britt Moser et al. · Science · 2008 · 1.2K citations
1–5 of 89
276
MRC Cognition and Brain Sciences Unit, United Kingdom
8 publications · 2K citations
8
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8
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5
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5
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4
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1–5 of 276
144
Columbia University
New York, United States
13 h-index
41 publications
2.1K citations

MRC Cognition and Brain Sciences Unit
Cambridge, United Kingdom
8 h-index
18 publications
3.8K citations
Dartmouth College
Hanover, United States
6 h-index
32 publications
6.5K citations
New York University
New York, United States
5 h-index
10 publications
775 citations

Western University
London, Canada
5 h-index
10 publications
559 citations

University of Trento
Trento, Italy
5 h-index
7 publications
1.4K citations

Cedars-Sinai Medical Center
Los Angeles, United States
5 h-index
23 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
5 publications
361 citations
1–8 of 144
Repository · 14 publications · 304 citations
12
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4 publications · 180 citations
4
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4 publications · 318 citations
4
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3 publications · 408 citations
3
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3 publications · 1.6K citations
3
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