1 Introduction The advent of deep neural networks has marked a significant milestone in computational technology.[1-6] However, these systems often rely on the conventional von Neumann computing architecture, which suffers from critical limitations in area and energy efficiency.[7-12] Neuromorphic computing architecture inspired by the biological mechanisms of the human nervous system has been explored as a potential approach for realizing more efficient computing paradigms.[13-15] Spiking...
