Ring Attractor Models
Ring Attractor Models is a type of continuous attractor neural network architecture characterized by a circular arrangement of recurrently connected neuronal populations that maintain stable, persistent activity patterns representing continuously varying angular or directional variables through localized firing, enabling biologically plausible modeling of head-direction or spatial orientation coding.
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2.3K
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90
Authors
55
Institutions
Publications per year
2017–2026
18
Variants
Ring Attractor NetworkRing Attractor Networks
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Ring attractor dynamics in the <i>Drosophila</i> central brain
Sung Soo Kim, Hervé Rouault, Shaul Druckmann et al. · Science · 2017 · 459 citations
The Neuroanatomical Ultrastructure and Function of a Biological Ring Attractor
Daniel B. Turner‐Evans, Kristopher T. Jensen, Saba Ali et al. · Neuron · 2020 · 170 citations · Full text
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California Institute of Technology, United States
3 publications · 217 citations
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Howard Hughes Medical Institute
Chevy Chase, United States
5 h-index
28 publications
4.3K citations
Harvard University
Cambridge, United States
4 h-index
9 publications
421 citations

Janelia Research Campus
Ashburn, United States
3 h-index
26 publications
4.1K citations
Stanford University
Stanford, United States
3 h-index
7 publications
689 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
280 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
204 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
598 citations
Neurosciences Institute
La Jolla, United States
2 h-index
4 publications
448 citations
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Repository · 3 publications · 131 citations
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2 publications · 183 citations
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2 publications · 114 citations
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JHEP · 2 publications · 81 citations
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1 publications · 22 citations
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