Neuromorphic Brain Simulation is a computational modeling approach within large-scale brain simulation that employs neuromorphic hardware architectures to emulate the brain’s neural dynamics and synaptic plasticity with event-driven, low-power, parallel processing inspired by neurobiological principles.
173
Publications
12.3K
Citations
677
Authors
262
Institutions
Publications per year
2017–2026
74
Parents
Publications
173
A wafer-scale neuromorphic hardware system for large-scale neural modeling
Johannes Schemmel, Daniel Briiderle, Andreas Griibl et al. · 2010 · 677 citations
1–5 of 173
Authors
677
- SF
13
h-index
- HD
7
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- JC
5
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- DL
5
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- LA
5
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1–5 of 677
Institutions
262
University of Manchester
Manchester, United Kingdom
13 h-index
63 publications
4.4K citations
Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
696 citations
Heidelberg University
Heidelberg, Germany
5 h-index
13 publications
4.5K citations
Stanford University
Stanford, United States
5 h-index
13 publications
5.2K citations
Razi University
Kermanshah, Iran
5 h-index
8 publications
359 citations
Xiamen University
Xiamen, China
4 h-index
17 publications
1.7K citations
Université de Bordeaux
Bordeaux, France
4 h-index
13 publications
327 citations
University of Waterloo
Waterloo, Canada
4 h-index
7 publications
227 citations
1–8 of 262
Venues
- Frontiers in Neuroscience
13 publications · 1.3K citations
11
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- Neurocomputing
7 publications · 527 citations
7
h-index
- Neural Networks
5 publications · 205 citations
5
h-index
- Advanced Functional Materials
4 publications · 544 citations
4
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- Applied Physics Letters
4 publications · 270 citations
4
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1–5