Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor.

ABSTRACT: Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. The most significant component of an artificial neuron circuit is a large amount of energy consumption. Recent literature has proposed memristors as a promising option for synaptic implementation. In contrast, implementing memristive circuitry through neuron hardware presents significant challenges and is a relevant research topic. This paper describes an efficient circuit-level mixed CMOS memristor artificial neuron network with a memristor synapse model. From this perspective, the paper describes the design of artificial neurons in standard CMOS technology with low power utilization. The neuron circuit response is a modified version of the Morris-L

SUBMITTER: Nalliboyina K 

PROVIDER: S-EPMC11771950 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature