Neuromorphic Hardware
Neuromorphic Hardware is specialized computing hardware that embodies the structural and operational principles of biological neural systems, particularly through event-driven, low-power processing and parallel architectures designed to efficiently implement spiking neural networks at the edge.
6.3K
Publications
417.3K
Citations
17.4K
Authors
2.4K
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Publications per year
2017–2026
4.3K
6.3K
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Sung Hyun Jo, Ting‐Chang Chang, Idongesit E. Ebong et al. · Nano Letters · 2010 · 4.1K citations
Life Sciences, Electrical Engineering, Materials Science +17
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies, Narayan Srinivasa, Tsung-Han Lin et al. · IEEE Micro · 2018 · 3.7K citations
Engineering, Computer Engineering, Computational Neuroscience +16
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2.4K

Chinese Academy of Sciences
Beijing, China
81 h-index
1.4K publications
116.8K citations
Tsinghua University
Beijing, China
74 h-index
943 publications
123.8K citations
Institute of Microelectronics
Beijing, China
63 h-index
926 publications
81.3K citations
University of Chinese Academy of Sciences
Beijing, China
60 h-index
761 publications
63.7K citations
University of Zurich
Zurich, Switzerland
56 h-index
435 publications
41.7K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
56 h-index
396 publications
38.5K citations
ETH Zurich
Zurich, Switzerland
56 h-index
529 publications
41.7K citations

Centre National de la Recherche Scientifique
Paris, France
55 h-index
636 publications
51.7K citations
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163 publications · 24.4K citations
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167 publications · 16.1K citations
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122 publications · 15.6K citations
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185 publications · 14.5K citations
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132 publications · 7.8K citations
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