(Peer-Reviewed) Light-stimulated adaptive artificial synapse based on nanocrystalline metal-oxide film
Igor S. Balashov ¹, Alexander A. Chezhegov ¹, Artem S. Chizhov ², Andrey A. Grunin ¹, Konstantin V. Anokhin ³ ⁴, Andrey A. Fedyanin ¹
¹ Faculty of Physics, Lomonosov Moscow State University, Moscow 119991, Russia
² Faculty of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia
³ Institute for Advanced Brain Studies, Lomonosov Moscow State University, Moscow 119991, Russia
⁴ P. K. Anokhin Research Institute of Normal Physiology, Moscow 125315, Russia
Opto-Electronic Science, 2023-12-06
Abstract
Artificial synapses utilizing spike signals are essential elements of new generation brain-inspired computers. In this paper, we realize light-stimulated adaptive artificial synapse based on nanocrystalline zinc oxide film.
The artificial synapse photoconductivity shows spike-type signal response, long and short-term memory (LTM and STM), STM-to-LTM transition and paired-pulse facilitation. It is also retaining the memory of previous exposures and demonstrates spike-frequency adaptation properties.
A way to implement neurons with synaptic depression, tonic excitation, and delayed accelerating types of response under the influence of repetitive light signals is discussed. The developed artificial synapse is able to become a key element of neuromorphic chips and neuromorphic sensorics systems.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
