Zikang Lin;Xiaohui Wu;Shujing Zhao;Weihua Liu;Xin Li;Li Geng;Chuanyu Han
{"title":"一种由Mott记忆电阻器实现的无源可扩展高阶神经形态电路","authors":"Zikang Lin;Xiaohui Wu;Shujing Zhao;Weihua Liu;Xin Li;Li Geng;Chuanyu Han","doi":"10.1109/JXCDC.2025.3573709","DOIUrl":null,"url":null,"abstract":"In this study, VO2 Mott memristors have been successfully fabricated, leading to the proposal of a passive and scalable high-order neural circuit. This circuit consists of two coupled VO2 Mott memristors, two resistors, and three capacitors. The proposed high-order neural circuit demonstrates 11 distinct firing behaviors similar to those of biological neurons, along with controllable burst firing patterns. The spikes, interspike interval (ISI) within a burst, and the quiescence interval between bursts can be adjusted by varying the capacitance and resistance values. In addition, this circuit operates without the need for a bias supply or inductors, enhancing its scalability. This design not only improves circuit interconnection but also effectively reduces power consumption, providing a solid foundation for the development of spiking neural networks (SNNs).","PeriodicalId":54149,"journal":{"name":"IEEE Journal on Exploratory Solid-State Computational Devices and Circuits","volume":"11 ","pages":"60-66"},"PeriodicalIF":2.7000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11015876","citationCount":"0","resultStr":"{\"title\":\"A Passive and Scalable High-Order Neuromorphic Circuit Enabled by Mott Memristors\",\"authors\":\"Zikang Lin;Xiaohui Wu;Shujing Zhao;Weihua Liu;Xin Li;Li Geng;Chuanyu Han\",\"doi\":\"10.1109/JXCDC.2025.3573709\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, VO2 Mott memristors have been successfully fabricated, leading to the proposal of a passive and scalable high-order neural circuit. This circuit consists of two coupled VO2 Mott memristors, two resistors, and three capacitors. The proposed high-order neural circuit demonstrates 11 distinct firing behaviors similar to those of biological neurons, along with controllable burst firing patterns. The spikes, interspike interval (ISI) within a burst, and the quiescence interval between bursts can be adjusted by varying the capacitance and resistance values. In addition, this circuit operates without the need for a bias supply or inductors, enhancing its scalability. This design not only improves circuit interconnection but also effectively reduces power consumption, providing a solid foundation for the development of spiking neural networks (SNNs).\",\"PeriodicalId\":54149,\"journal\":{\"name\":\"IEEE Journal on Exploratory Solid-State Computational Devices and Circuits\",\"volume\":\"11 \",\"pages\":\"60-66\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11015876\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal on Exploratory Solid-State Computational Devices and Circuits\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11015876/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Exploratory Solid-State Computational Devices and Circuits","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11015876/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
A Passive and Scalable High-Order Neuromorphic Circuit Enabled by Mott Memristors
In this study, VO2 Mott memristors have been successfully fabricated, leading to the proposal of a passive and scalable high-order neural circuit. This circuit consists of two coupled VO2 Mott memristors, two resistors, and three capacitors. The proposed high-order neural circuit demonstrates 11 distinct firing behaviors similar to those of biological neurons, along with controllable burst firing patterns. The spikes, interspike interval (ISI) within a burst, and the quiescence interval between bursts can be adjusted by varying the capacitance and resistance values. In addition, this circuit operates without the need for a bias supply or inductors, enhancing its scalability. This design not only improves circuit interconnection but also effectively reduces power consumption, providing a solid foundation for the development of spiking neural networks (SNNs).