{"title":"基于莫特忆阻器的痛觉感受器的实现","authors":"Yanji Wang, Yu Wang, Yanzhong Zhang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong","doi":"10.35848/1882-0786/ad1fa7","DOIUrl":null,"url":null,"abstract":"\n Nociceptive receptors primarily responsible for responding to potentially harmful stimuli. We designed Pt/Ag/NbOx/W memristors with threshold switching (TS) characteristic and low working voltage attribute to the diffusion of Ag ions within the device. Furthermore, this device emulates the functions of a leaky integrate-and-fire (LIF) neuron and nervous pain perception functions, respectively. The artificial neurons exhibit neural functions, including leaky integration, threshold-driven firing , self-relaxation characteristics, and allodynia, hyperalgesia of the nociceptor. The proposed threshold-switching memristor shows potential in the field of neuromorphic computing and creating intelligent systems that can replicate the complexity of the human brain.","PeriodicalId":503885,"journal":{"name":"Applied Physics Express","volume":"17 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realization of nociceptive receptors based on Mott memristors\",\"authors\":\"Yanji Wang, Yu Wang, Yanzhong Zhang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong\",\"doi\":\"10.35848/1882-0786/ad1fa7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Nociceptive receptors primarily responsible for responding to potentially harmful stimuli. We designed Pt/Ag/NbOx/W memristors with threshold switching (TS) characteristic and low working voltage attribute to the diffusion of Ag ions within the device. Furthermore, this device emulates the functions of a leaky integrate-and-fire (LIF) neuron and nervous pain perception functions, respectively. The artificial neurons exhibit neural functions, including leaky integration, threshold-driven firing , self-relaxation characteristics, and allodynia, hyperalgesia of the nociceptor. The proposed threshold-switching memristor shows potential in the field of neuromorphic computing and creating intelligent systems that can replicate the complexity of the human brain.\",\"PeriodicalId\":503885,\"journal\":{\"name\":\"Applied Physics Express\",\"volume\":\"17 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Physics Express\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35848/1882-0786/ad1fa7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Physics Express","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35848/1882-0786/ad1fa7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realization of nociceptive receptors based on Mott memristors
Nociceptive receptors primarily responsible for responding to potentially harmful stimuli. We designed Pt/Ag/NbOx/W memristors with threshold switching (TS) characteristic and low working voltage attribute to the diffusion of Ag ions within the device. Furthermore, this device emulates the functions of a leaky integrate-and-fire (LIF) neuron and nervous pain perception functions, respectively. The artificial neurons exhibit neural functions, including leaky integration, threshold-driven firing , self-relaxation characteristics, and allodynia, hyperalgesia of the nociceptor. The proposed threshold-switching memristor shows potential in the field of neuromorphic computing and creating intelligent systems that can replicate the complexity of the human brain.