Pulse event decision device, method, chip and electronic equipment

Abstract

The invention relates to a pulse event decision-making device, method, chip and electronic equipment. In order to solve the inherent delay problem of neuromorphic chip output pulse events when reading decisions, the first counting module adopted in the present invention is configured to count the number of input pulse events of the pulse neural network; the second Two counting modules, which are configured to count the number of pulse events each of several neurons in the output layer of the pulse neural network; decision-making modules, which are configured to reach a first preset value when the count of the first counting module reaches a first preset value When or when the total count of the second counting module reaches the second preset value, the decision result is made according to the counts of pulse events emitted by several neurons in the output layer of the spiking neural network. Based on technical means such as counting and sliding counting windows, the present invention solves the problem of inherent delay or insufficient decision data during decision-making, and realizes the technical effect of adaptively making the final decision according to the speed of event occurrence.

Description

technical field [0001] The present invention relates to a pulse event decision-making device, method, chip and electronic equipment, in particular to a pulse event decision-making device, method, chip and electronic equipment for adaptive decision-making at the edge of the Internet of Things (IoT) according to the speed of event occurrence. Background technique [0002] Neuromorphic Computing (Neuromorphic Computing) is a new type of computing architecture developed recently. This computing method uses bionic (eye, brain, etc.) methods to complete reasoning on input signals, breaking through the von Neumann architecture for the first time. Event imaging devices, including but not limited to dynamic vision sensors, generate pulse events according to the light and dark changes at the corresponding positions of the pixels, and are in a silent state when there is no change in light and dark, and do not generate redundant data. Frame-based image processing logic is completely dif...

AI Technical Summary

Problems solved by technology

[0005] However, there are still some unreasonable inherent delays in the prior art ( figure 1 ), eliminating these delays will help the chip / system to obtain decision results faster, and win more precious time for the subsequent system to make a more timely response

In addition, it may be because of this inherent delay that in some cases the chip's inference results may be unreliable

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