Neuromorphic Transistors with High-Precision Patterned Polypyrrole Electrodes for Visual Information Processing

View at publisher
Authors: Yining Zhang, Wei Dai, Xinyi Liu, Yutong Zhang, Yanyu Zhao, Shuyan Liu, Hui Qun Fan, Pengfei Zhao, Jianhua Zhang, Su-Ting Han, Ye Zhou
Cited by: 1
References: 38

Abstract

Optical synaptic devices are of considerable importance in visual information processing as well as the neuromorphic computing, due to the great photoresponse characteristics and nonlinear memory capabilities. The physical implementation of device is deeply associated with electrodes. However, traditional electrodes face fundamental challenges in low stability and precision. Here, we report a superior adhesion patterned polypyrrole (PPy) electrodes including high resolution, excellent environmental stability. Based on the PPy electrodes, we developed physical reservoir computing system for blue extraction from complex color images and motion identification with high accuracy. These results provide a high resolution and integration electrodes for the organic transistor array, showing the outstanding potential for advanced visual cognition tasks based on neuromorphic electronics.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Organic Electronics and Photovoltaics

Publication details

Journal / source
The Journal of Physical Chemistry Letters
Publisher
American Chemical Society (ACS)
Volume
17
Issue
15
Pages
4480–4488
Publication date
7 April 2026
Language
EN