Retinal Network Computation
Retinal Network Computation is a theoretical framework that characterizes the processing of visual information by interconnected retinal neurons through specific synaptic and circuit-level operations to transform light-evoked signals into coded neural outputs.
30
Publications
1.6K
Citations
85
Authors
42
Institutions
Publications per year
2017–2026
9
Parents
30
Parallel processing in the mammalian retina: the Proctor Lecture.
B. B. Boycott, Heinz Wässle · PubMed · 1999 · 159 citations
Medicine, Neurobiology, Neuroscience +16
Inferring hidden structure in multilayered neural circuits
Niru Maheswaranathan, David B. Kastner, Stephen A. Baccus et al. · PLoS Computational Biology · 2018 · 75 citations · Full text
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42
University of California, Berkeley
Berkeley, United States
4 h-index
14 publications
494 citations
HUN-REN Institute for Computer Science and Control
Budapest, Hungary
3 h-index
9 publications
294 citations
Toyohashi University of Technology
Toyohashi, Japan
2 h-index
12 publications
270 citations
Pázmány Péter Catholic University
Budapest, Hungary
2 h-index
2 publications
26 citations
University of Pannonia
Veszprém, Hungary
2 h-index
4 publications
45 citations
University of Sussex
Brighton, United Kingdom
2 h-index
5 publications
238 citations
University College London
London, United Kingdom
2 h-index
1 publications
59 citations

University of Leeds
Leeds, United Kingdom
2 h-index
2 publications
99 citations
1–8 of 42
3 publications · 139 citations
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Repository · 2 publications · 27 citations
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2 publications · 45 citations
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2 publications · 224 citations
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2 publications · 36 citations
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