Feedforward Circuits is a type of neural circuit architecture in which information flows unidirectionally from input neurons through intermediate layers to output neurons without feedback or recurrent connections.
218
Publications
15.3K
Citations
644
Authors
283
Institutions
Publications per year
2017–2026
47
Publications
218
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
Mike Davies, Andreas Wild, Garrick Orchard et al. · Proceedings of the IEEE · 2021 · 619 citations · Full text
Parallel, Redundant Circuit Organization for Homeostatic Control of Feeding Behavior
J. Nicholas Betley, Zhen Fang Huang Cao, Kimberly Ritola et al. · Cell · 2013 · 602 citations · Full text
1–5 of 218
Authors
644
- WM
4
h-index
- AA
4
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- JJ
3
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- HW
3
h-index
- PK
3
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1–5 of 644
Institutions
283
Harvard University
Cambridge, United States
8 h-index
25 publications
5.3K citations
California Institute of Technology
Pasadena, United States
8 h-index
15 publications
632 citations
The University of Texas at Austin
Austin, United States
5 h-index
10 publications
218 citations
University of Pittsburgh
Pittsburgh, United States
4 h-index
23 publications
2K citations
University of California San Diego
San Diego, United States
4 h-index
9 publications
1.5K citations
University of Utah
Salt Lake City, United States
4 h-index
19 publications
1K citations
Eye Institute of Utah
Salt Lake City, United States
4 h-index
16 publications
667 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
15 publications
7.2K citations
1–8 of 283
Venues
- IEEE Transactions on Neural Networks
14 publications · 636 citations
12
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- Neural Computation
11 publications · 678 citations
11
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- Neural Networks
7 publications · 221 citations
7
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- Journal of Neuroscience
6 publications · 744 citations
6
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- Proceedings of the National Academy of Sciences
PNAS · 6 publications · 1.2K citations
6
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1–5