Round-trip engineering apparatus and methods for neural networks
US9117176B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2012 |
| Grant date | Aug 25, 2015 |
| Priority date | — |
| Expiry date | Dec 7, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatus and methods for high-level neuromorphic network description (HLND) framework that may be configured to enable users to define neuromorphic network architectures using a unified and unambiguous representation that is both human-readable and machine-interpretable. The framework may be used to define nodes types, node-to-node connection types, instantiate node instances for different node types, and to generate instances of connection types between these nodes. To facilitate framework usage, the HLND format may provide the flexibility required by computational neuroscientists and, at the same time, provides a user-friendly interface for users with limited experience in modeling neurons. The HLND kernel may comprise an interface to Elementary Network Description (END) that is optimized for efficient representation of neuronal systems in hardware-independent manner and enables seamless translation of HLND model description into hardware instructions for execution by various processing modules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.