Abstract: The present disclosure relates to a spike event decision-making device, method, chip, and electronic device to eliminate inherent delays of an output spike event of the neuromorphic chip when reading decisions. The spike event decision-making device includes a first counting module configured to count a number of input spike events of the spiking neural network, a second counting module configured to count some or all of the output spike events of the spiking neural network; and a decision-making module configured to generate a decision-making result according to numbers of spike events fired by neurons in an output layer of the spiking neural network when the number counted by the first counting module reaches a first predetermined value, or when the total count counted by the second counting module reaches a second predetermined value.

Abstract: A noise filtering device, method, and chip for a dynamic vision sensor (DVS), and an event-driven vision device, and an electronic device are provided. In order to meet multi-dimensional requirements of a denoising solution such as power consumption, delay, storage resources, calculation resources, denoising effect, applicable range of noise types, and hardware implementation difficulty, in this disclosure, global space-domain and time-domain informations are simultaneously aggregated in a shift register, or latest time-domain informations are collected through a space domain, and finally, whether an event generated by a DVS is a noise event is judged on the basis of clustering of space-domain informations and the time-domain informations. While achieving excellent denoising performance, this disclosure has outstanding advantages in the aforementioned multiple dimensions because of advantages of parallel and simple calculation and no dependence on a DVS resolution, etc.