Event driven and time hopping neural network
US10922607B2 · kind B2 · utility
8Cited by
1References
20Claims
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Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | Nov 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0495
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a processor is to store a membrane potential of a neural unit of a neural network; and calculate, at a particular time-step of the neural network, a change to the membrane potential of the neural unit occurring over multiple time-steps that have elapsed since the last time-step at which the membrane potential was updated, wherein each of the multiple time-steps that have elapsed since the last time-step is associated with at least one input to the neural unit that affects the membrane potential of the neural unit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.