Visible-light responsive CdS-QDs modified InGaZnO synapse for biologically plausible color-to-gray conversion

Author:

Zhu Li1ORCID,Li Sixian1ORCID,Shu Kaiyi1,Ke Shuo2,Wan Xiang1ORCID,Sun Huabin1ORCID,Yan Shancheng1ORCID,Xu Yong1ORCID,Tan Chee Leong1ORCID,He Gang3ORCID,Yu Zhihao1ORCID,Wan Changjin2ORCID

Affiliation:

1. College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications 1 , Nanjing 210023, China

2. School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures, Nanjing University 2 , Nanjing 210023, China

3. School of Materials Science and Engineering, Anhui University 3 , Hefei 230601, China

Abstract

The energy-efficient perceptual capabilities of the human visual system have inspired the development of optoelectronic neuromorphic devices to replicate the essential properties. Color vision that is highly important for perception and cognitive behaviors, such as object recognition, esthetics, and communication, has recently been reported based on optoelectronic neuromorphic devices. The responses to different wavelengths of light are mainly dependent on power density, whereas the eye recognizes color images based on luminosity. This Letter presents a quantum dots (QDs) modified InGaZnO (IGZO) synaptic transistor based on an IGZO/CdS-QDs/PMMA heterojunction. These IGZO-based synapses show significant responsivity to 655-nm light through the spectrum broadening by QDs. More importantly, luminance-based color-to-gray conversion can be realized with this device using a spike encoding scheme, transforming color images into grayscale in parallel. Notably, the QDs modified IGZO-based synapses demonstrated a remarkable 34.3% improvement in recognition accuracy on the multicolor MNIST dataset in comparison with the pristine devices. Our results indicate that this visible-light responsive IGZO-based synapse has great potential for endowing the neuromorphic visual system with enhanced color vision and provides a biologically plausible approach for color-to-gray conversion.

Funder

National Natural Science Foundation of China

Natural Science Research of Jiangsu Higher Education Institutions of China

Nanjing University of Posts and Telecommunications

Publisher

AIP Publishing

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