Flexible Metal Oxide/Graphene Oxide Hybrid Neuromorphic Devices on Flexible Conducting Graphene Substrates

TL;DR

This paper reports the development of flexible hybrid neuromorphic devices using metal oxide and graphene oxide on graphene substrates, successfully emulating dendritic integration and visual motion detection for flexible cognitive systems.

Contribution

It introduces a novel flexible multi-gate neuron transistor platform that emulates dendritic processing and visual motion detection, advancing flexible neuromorphic device technology.

Findings

Successful emulation of dendritic integration in spatial and temporal modes

Implementation of a visual system model for motion detection

Potential for flexible neuromorphic cognitive systems

Abstract

Flexible metal oxide/graphene oxide hybrid multi-gate neuron transistors were fabricated on flexible graphene substrates. Dendritic integrations in both spatial and temporal modes were successfully emulated, and spatiotemporal correlated logics were obtained. A proof-of-principle visual system model for emulating lobula giant motion detector neuron was investigated. Our results are of great interest for flexible neuromorphic cognitive systems.