Method and apparatus for shared cross-stream event detection
US10949739B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 16, 2020 |
| Grant date | Mar 16, 2021 |
| Priority date | — |
| Expiry date | Nov 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Identifying shared events across spiking-neural-network data streams with significant stochastic content. The data streams are first subject to cross correlation. If two data streams are completely uncorrelated, the rate of occurrence, of cross-stream spike pairs, is an approximately uniform “r_ind” across all Time Between Events (TBE's). Any shared events create a gradient, where r_ind increases to a rate “r_shr,” for any TBE's≤a Time Of Discernment (TOD). A search for the actual TOD (TOD_a) can be accomplished with a conjectured TOD (TOD_c). TOD_c is tested against an exponential decay with its rate set to a conjectured r_ind (r_ind_c). When r_ind_c=actual r_ind, equal ranges (or regions) of values, of exponential decay, represent equal probabilities. Values of TOD_c and r_ind_c are generated (at respective learning rates), until a combination is found where probabilistically equal regions receive statistically equal numbers of cross-stream events. It is then known TOD_a≤TOD_c.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.