Method, device and system to generate a Bayesian inference with a spiking neural network
US11544564B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2018 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Dec 24, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and mechanisms for performing a Bayesian inference with a spiking neural network. In an embodiment, a parent node of the spiking neural network receives a first bias signal which is periodic. The parent node communicates a likelihood signal to a child node, wherein the parent node and the child node correspond to a first condition and a second condition, respectively. Based on a phase change which is applied to the first bias signal, the likelihood signal indicates a probability of the first condition. The child node also receives a signal which indicates an instance of the second condition. Based on the indication and a second bias signal, the child node signals to the first node that an adjustment is to be made to the phase change applied to the first bias signal. After the adjustment, the likelihood signal indicates an updated probability of the first condition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.