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Adaptive Vision Sensor Based on Nonlinear Negative Photoconductivity Behavior

delete2025-03-18
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PRE
AI
C
Chenxing Jin
J
Jingwen Wang
W
Wanrong Liu
Y
Yunchao Xu
时晓芳 cover
时晓芳 (Xiaofang Shi)
R
Ruihan Li
J
Jia Sun
J
Junliang Yang
DOI:10.1002/adfm.202501284delete
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Abstract

Abstract

En 中文
In-sensor adaptive visual systems represent a promising technology applicable across various fields. This method significantly enhances image quality while reducing system complexity, thereby holding substantial scientific significance and practical applications. This study emulates a light-triggered depolarization neuromorphic response utilizing an In2O3/C8-BTBT heterojunction transistor device equipped with ion-gel gating. When the heterojunction device is exposed to UV light, electrons in the In2O3 layer recombine with holes in the C8-BTBT layer, leading to a rapid decrease in photocurrent and resulting in a significant negative photoresponse. The device is capable of simulating spike-dependent inhibitory currents and multilevel storage capabilities. Moreover, the proposed device is employed in constructing a UV-adaptive retina, facilitating in-sensor adaptive computational imaging by leveraging its unique dependence on UV intensity and temporal characteristics, thereby significantly enhancing the visualization of image details.
Keywords:
adaptive computational imaging
negative photoresponse
optical stimulation depolarization

Journal

Advanced Functional Materials cover
Advanced Functional Materials
IF:
19
Papers:
3.4W
Citations:
32.1W

Organization

S
Shanghai Inst Microsyst and Informat Technol
Scholars:
13
Papers: 8
Citations: 8