Elementary network description for efficient link between neuronal models and neuromorphic systems
US8712941B2 · kind B2 · utility
56Cited by
1References
21Claims
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Key dates
| Filing date | Sep 21, 2011 |
| Grant date | Apr 29, 2014 |
| Priority date | — |
| Expiry date | Jun 3, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. The format is specifically tuned for neural systems and specialized neuromorphic hardware, thereby serving as a bridge between developers of brain models and neuromorphic hardware manufactures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.