| Issue |
Natl Sci Open
Volume 4, Number 5, 2025
|
|
|---|---|---|
| Article Number | 20250030 | |
| Number of page(s) | 13 | |
| Section | Chemistry | |
| DOI | https://doi.org/10.1360/nso/20250030 | |
| Published online | 20 August 2025 | |
RESEARCH ARTICLE
Parallel emulation of visual adaptation and memory towards biochemically mediated motion recognition in a real scene
1
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China
2
Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China
* Corresponding author (email: zww@nju.edu.cn)
Received:
28
June
2025
Revised:
11
August
2025
Accepted:
13
August
2025
Aqueous neuromorphic devices using essential biological mechanisms have recently appeared as promising candidates for high-level neurosynaptic emulation. Towards the important functionality of motion recognition, while conventional solid-state neuromorphic vision sensors have made significant progress, aqueous motion recognition based on biochemical transmission remains challenging. Taking inspiration from biology, here we report an organic photoelectrochemical transistor biosensor capable of parallel emulation of visual adaptation and memory towards biochemically mediated motion recognition in a real scene. Based on the rational design and implementation of photoelectrochemical events, two artificial Magno and Parvo pathways are emulated to produce visual adaptation and memory in aqueous conditions, respectively. Dynamic and static visual information could be correspondingly processed and applied for integrated image filtering in a real scene and recognition of moving objects by artificial neural networks.
Key words: organic transistor / photoelectrochemical biosensor / aqueous neuromorphic devices / motion recognition / real scene
© The Author(s) 2025. Published by Science Press and EDP Sciences.
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