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.

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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

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article

Heterointerface‐Modulated Synthetic Synapses Exhibiting Complex Multiscale Plasticity

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5 citations
Advanced Science
Advanced Memory and Neural Computing
3.65
article

Heterointerface‐Modulated Synthetic Synapses Exhibiting Complex Multiscale Plasticity

Wei Zhong, Boyang Yu, Dengyun Lei, Xiaoen Chen, Yao Ni, Shuai Wei, Lu Liu, Xingji Liu, Yayi Chen, Zujun Wang, Jianfeng Zhang, Yuan Liu, Yue Yu, Jing Qi, Jiarong Lin
article en
5 citations

Abstract

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.

Advanced ScienceVol. 12(30)
Guangdong University of Technology (CN), Hong Kong Polytechnic University (HK), University of Jinan (CN), Northwest Institute of Nuclear Technology (CN), Lanzhou University (CN)
National Science Foundation, National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 7%
Advanced Memory and Neural Computing
3.65
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