Elementary network description for neuromorphic systems with plurality of doublets wherein doublet events rules are executed in parallel
US9104973B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 21, 2011 |
| Grant date | Aug 11, 2015 |
| Priority date | — |
| Expiry date | Apr 25, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N99/007
- 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. Neuronal network and methods for operating neuronal networks comprise a plurality of units, where each unit has a memory and a plurality of doublets, each doublet being connected to a pair of the plurality of units. Execution of unit update rules for the plurality of units is order-independent and execution of doublet event rules for the plurality of doublets is order-independent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.