Implementing a neural associative memory based on non-linear learning of discrete synapses
US8463722B2 · kind B2 · utility
5Cited by
1References
40Claims
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Inventor
Key dates
| Filing date | Apr 22, 2010 |
| Grant date | Jun 11, 2013 |
| Priority date | — |
| Expiry date | Jul 29, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neural network, as well as methods for retrieving such associations. A method for a non-linear synaptic learning of discrete synapses is disclosed, and its application on neural networks is laid out.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.