Retina-Inspired Organic Heterojunction-Based Optoelectronic Synapses for Artificial Visual Systems
Author(s) -
Junyao Zhang,
Yang Lu,
Shilei Dai,
Ruizhi Wang,
Dandan Hao,
Shiqi Zhang,
Lize Xiong,
Jia Huang
Publication year - 2021
Publication title -
research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.8
H-Index - 16
ISSN - 2639-5274
DOI - 10.34133/2021/7131895
Subject(s) - neuromorphic engineering , materials science , computer science , heterojunction , optoelectronics , neuroscience , synaptic weight , artificial intelligence , artificial neural network , biology
For the realization of retina-inspired neuromorphic visual systems which simulate basic functions of human visual systems, optoelectronic synapses capable of combining perceiving, processing, and memorizing in a single device have attracted immense interests. Here, optoelectronic synaptic transistors based on tris(2-phenylpyridine) iridium (Ir(ppy) 3 ) and poly(3,3-didodecylquarterthiophene) (PQT-12) heterojunction structure are presented. The organic heterojunction serves as a basis for distinctive synaptic characteristics under different wavelengths of light. Furthermore, synaptic transistor arrays are fabricated to demonstrate their optical perception efficiency and color recognition capability under multiple illuminating conditions. The wavelength-tunability of synaptic behaviors further enables the mimicry of mood-modulated visual learning and memorizing processes of humans. More significantly, the computational dynamics of neurons of synaptic outputs including associated learning and optical logic functions can be successfully demonstrated on the presented devices. This work may locate the stage for future studies on optoelectronic synaptic devices toward the implementation of artificial visual systems.
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