Work

Optoelectronic stimuli-driven switchable memristors with multilevel resistance states for neuromorphic vision sensors

Year: 2024

Type: article

Abstract: The developed optoelectronic synaptic devices with resistive switching enable efficient, fault-resistant image recognition. The PMMA/ZnO/2IF memristor array advances neuromorphic vision systems, offering high accuracy and low power consumption.

Source: Journal of Materials Chemistry C

DOI: 10.1039/d4tc01796j

Authors: Pravinraj Selvaraj, Meng-Lin Chen, Sreeshyam Adat, Yu-Wu Wang

Institution: National Changhua University of Education

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science and Technology Council

Awards: G3508333035, G534768903, G8738586774