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Abstract
This study proposes programmable ferroelectric bionic vision hardware emulating selective attention. Tunneling effects of photogenerated carriers are controlled by dynamically varying the energy barrier, modulating memory strength (9.1% to 47.1%) without a peripheral storage unit. Ferroelectric P(VDF-TrFE) allows a single device to have multiple nonvolatile states and implement selective attention. UV light information is selectively recorded and suppressed with high current decibel levels. Positive polarization shows high wavelength dependence in image attention processing, achieving 95.7% accuracy in multi-wavelength image classification. This work enriches neuromorphic functions of bioinspired sensors and advances bioinspired optoelectronics.
Publisher
Nature Communications
Published On
Nov 17, 2022
Authors
Rengjian Yu, Lihua He, Changsong Gao, Xianghong Zhang, Enlong Li, Tailiang Guo, Wenwu Li, Huipeng Chen
Tags
ferroelectric
bionic vision
selective attention
image classification
optoelectronics
neuromorphic functions
nonvolatile states
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