Crossbar-based neuromorphic computing apparatus capable of processing large input neurons and method using the same

Abstract

A neuromorphic computing method includes comparing a maximum number of axons in which a size of a crossbar of a hardware-based node is considered with a number of input neurons, when the number of input neurons exceeds the maximum number of axons, grouping some of input neurons in consideration of the maximum number of axons, obtaining a spike output for a generated group, and inputting the spike output, together with remaining input neurons that are not included in the group, to any one node, and then processing the spike output.

CPC Classifications