Event-based extraction of features in a convolutional spiking neural network
US11989645B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2022 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Aug 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C11/54
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system is described that comprises a memory for storing data representative of at least one kernel, a plurality of spiking neuron circuits, and an input module for receiving spikes related to digital data. Each spike is relevant to a spiking neuron circuit and each spike has an associated spatial coordinate corresponding to a location in an input spike array. The system also comprises a transformation module configured to transform a kernel to produce a transformed kernel having an increased resolution relative to the kernel, and/or transform the input spike array to produce a transformed input spike array having an increased resolution relative to the input spike array. The system also comprises a packet collection module configured to collect spikes until a predetermined number of spikes relevant to the input spike array have been collected in a packet in memory, and to organize the collected relevant spikes in the packet based on the spatial coordinates of the spikes, and a convolutional neural processor configured to perform event-based convolution using memory and at least one of the transformed input spike array and the transformed kernel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.