Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network.

ABSTRACT: In view of the growing volume of data, there is a notable research focus on hardware that offers high computational performance with low power consumption. Notably, neuromorphic computing, particularly when utilizing CMOS-based hardware, has demonstrated promising research outcomes. Furthermore, there is an increasing emphasis on the utilization of emerging synapse devices, such as non-volatile memory (NVM), with the objective of achieving enhanced energy and area efficiency. In this context, we designed a hardware system that employs memristors, a type of emerging synapse, for a 1T1R synapse. The operational characteristics of a memristor are dependent upon its configuration with the transistor, specifically whether it is located at the source (MOS) or the drain (MOD) of the transistor. D

SUBMITTER: Lim JG 

PROVIDER: S-EPMC11920157 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature