Neuromorphic and synaptronic spiking neural network with synaptic weights learned using simulation
US8515885B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 29, 2010 |
| Grant date | Aug 20, 2013 |
| Priority date | — |
| Expiry date | Oct 31, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the invention provide neuromorphic-synaptronic systems, including neuromorphic-synaptronic circuits implementing spiking neural network with synaptic weights learned using simulation. One embodiment includes simulating a spiking neural network to generate synaptic weights learned via the simulation while maintaining one-to-one correspondence between the simulation and a digital circuit chip. The learned synaptic weights are loaded into the digital circuit chip implementing a spiking neural network, the digital circuit chip comprising a neuromorphic-synaptronic spiking neural network including plural synapse devices interconnecting multiple digital neurons.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.