A 2D MoS <sub>2</sub> ‐Based Active‐Matrix Photosensor Array for Neuromorphic Vision

Abstract Neuromorphic visual processing hardware mimics key functions of the human visual system, including static image sensing and processing, as well as the perception and prediction of moving targets. However, conventional complementary metal‐oxide semiconductor (CMOS) platforms face significant challenges such as power consumption and processing delays. Herein, a 64 × 64 active‐matrix photosensor array (AM‐PA) is developed with a one‐transistor‐one‐photodetector architecture, by integrating metal‐oxide thin‐film transistors with monolayer MoS 2 photodetectors. By modulating the intrinsic defects serving as charge‐trapping centers within the MoS 2 film, the AM‐PA exhibits configurable conductance plasticity in response to optical stimuli. This system enables in‐array visual sensing and processing functionalities: static image sensing and pre‐processing to reduce noise, prediction of dynamic spatiotemporal patterns, and accurate trajectory forecasting for complex motion scenarios. These results demonstrate the feasibility of the AM‐PA as a promising platform for neuromorphic visual systems.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-27
DOI
https://doi.org/10.1002/adfm.202507954
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 2D MoS 2 ‐Based Active‐Matrix Photosensor Array for Neuromorphic Vision

Guolei Liu, Bowen Zhu, Fanfan Li, Shuhui Ren et al.
7 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
5.11
article

A 2D MoS 2 ‐Based Active‐Matrix Photosensor Array for Neuromorphic Vision

Guolei Liu, Bowen Zhu, Fanfan Li, Shuhui Ren, Feilin Chen, Siyu Zhang, Hong Wang, Rui Wang, Yingjie Tang, Yitong Chen, Huihui Ren, Dingwei Li, Yan Wang
article en
7 citations

Abstract

Abstract Neuromorphic visual processing hardware mimics key functions of the human visual system, including static image sensing and processing, as well as the perception and prediction of moving targets. However, conventional complementary metal‐oxide semiconductor (CMOS) platforms face significant challenges such as power consumption and processing delays. Herein, a 64 × 64 active‐matrix photosensor array (AM‐PA) is developed with a one‐transistor‐one‐photodetector architecture, by integrating metal‐oxide thin‐film transistors with monolayer MoS 2 photodetectors. By modulating the intrinsic defects serving as charge‐trapping centers within the MoS 2 film, the AM‐PA exhibits configurable conductance plasticity in response to optical stimuli. This system enables in‐array visual sensing and processing functionalities: static image sensing and pre‐processing to reduce noise, prediction of dynamic spatiotemporal patterns, and accurate trajectory forecasting for complex motion scenarios. These results demonstrate the feasibility of the AM‐PA as a promising platform for neuromorphic visual systems.

Advanced Functional MaterialsVol. 35(41)
Xidian University (CN), Westlake University (CN), Zhejiang University (CN)
Westlake University, National Natural Science Foundation of China
Openalex Percentile: Top 5%
Advanced Memory and Neural Computing
5.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.