Large-scale neuromorphic computing systems
Indexed incrossrefpubmed
Abstract
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind neuromorphic computing has its origins in the seminal work carried out by Carver Mead at Caltech in the late 1980s. This early work influenced others to carry developments forward, and advances in VLSI technology supported steady growth in the scale and capability of neuromorphic devices. Recently, a number of large-scale neuromorphic projects have emerged, taking the approach to unprecedented scales and capabilities. These large-scale projects are associated with…
Citation impact
542
total citations
- FWCI
- 19.53
- Percentile
- 100%
- References
- 32
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Neuromorphic engineering
- Computer science
- Mainstream
- Scale (ratio)
- Data science
- Artificial intelligence
- Computer architecture
- Human–computer interaction
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.
Funding
- ECEuropean CommissionAwards: 604102, FP7/2007-2013, FP7-604102, 2007-2013, FP7/2007, 320689
- EAEngineering and Physical Sciences Research CouncilAwards: EP/G015740/1, EP/D07908X/1, FP7-604102, EP/G015740/1, EP/D07908X/1, EP/D07908X/1 and EP/G015740/1
- EREuropean Research CouncilAward: 320689
- SFSeventh Framework ProgrammeAward: 604102