A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing.

ABSTRACT: Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from the multi-dendritic branch structure of neurons to enhance the processing capability of artificial neural networks. While there has been a recent surge of interest in implementing dendritic computing using emerging devices, achieving artificial dendrites with throughputs and energy efficiency comparable to those of the human brain has proven challenging. In this study, we report on the development of a compact and low-power neurotransistor based on a vertical dual-gate electrolyte-gated transistor (EGT) with short-term memory characteristics, a 30 nm c

SUBMITTER: Xu H 

PROVIDER: S-EPMC10567726 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature