Heterointerface‐Modulated Synthetic Synapses Exhibiting Complex Multiscale Plasticity
An asymmetric dual-gate heterointerface-regulated artificial synapse (HRAS) is developed, utilizing a main gate with distinct ion concentrations and a lateral gate to receive synaptic pulses, and through dielectric coupling and ionic effects, formed indium tin zinc oxide (ITZO) dual-interface channels that allow precise control over channel charge, thereby simulating multi-level coordinated actions of dual-neurotransmitters. The lateral modulation of the lateral gate significantly regulates ionic effects, achieving the intricate interplay among lateral inhibition/enhancement and short-/long-term plasticity at a multi-level scale for the first time. This interplay enables the HRAS device to simulate frequency-dependent image filtering and spike number-dependent dynamic visual persistence. By combining temporal synaptic inputs with lateral modulation, HRAS harnesses spatiotemporal properties for bio-inspired cryptographic applications, offering a versatile device-level platform for secure information processing. Furthermore, a novel dual-gate input neural network architecture based on HRAS has been proposed, which aids in weight update and demonstrates enhanced recognition capabilities in neural network tasks, highlighting its role in bio-inspired computing.
Authors
- Wei Zhong (ORCID: https://orcid.org/0000-0002-0317-7253)
- Boyang Yu (ORCID: https://orcid.org/0000-0002-1401-9250)
- Dengyun Lei (ORCID: https://orcid.org/0000-0001-8935-649X)
- Xiaoen Chen
- Yao Ni (ORCID: https://orcid.org/0000-0002-6370-4799)
- Shuai Wei (ORCID: https://orcid.org/0000-0003-4799-7955)
- Lu Liu (ORCID: https://orcid.org/0000-0003-3516-004X)
- Xingji Liu (ORCID: https://orcid.org/0009-0001-3079-3430)
- Yayi Chen (ORCID: https://orcid.org/0000-0002-8281-7246)
- Zujun Wang (ORCID: https://orcid.org/0000-0002-2502-9550)
- Jianfeng Zhang (ORCID: https://orcid.org/0000-0002-5570-9100)
- Yuan Liu (ORCID: https://orcid.org/0000-0002-7289-2103)
- Yue Yu (ORCID: https://orcid.org/0009-0006-2602-2226)
- Jing Qi
- Jiarong Lin
Institutions
- Guangdong University of Technology (CN)
- Hong Kong Polytechnic University (HK)
- University of Jinan (CN)
- Northwest Institute of Nuclear Technology (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1002/advs.202417237
- Citations
- 5
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 3.65
Funders
- National Science Foundation
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province