{"title":"记忆晶体管中丝状和非丝状开关共存的痛觉感受器增强型尖峰计时可塑性","authors":"Dongyeol Ju, Jungwoo Lee, Sungjun Kim","doi":"10.1002/admt.202400440","DOIUrl":null,"url":null,"abstract":"<p>In the era of big data, traditional computing architectures face limitations in handling vast amounts of data owing to the separate processing and memory units, thus causing bottlenecks and high-energy consumption. Inspired by the human brain's information exchange mechanism, neuromorphic computing offers a promising solution. Resistive random access memory devices, particularly those with bilayer structures like Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN, show potential for neuromorphic computing owing to their simple design, low-power consumption, and compatibility with existing technology. This study investigates the synaptic applications of Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN devices for neuromorphic computing. The unique coexistence of nonfilamentary and filamentary switching in the Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN device enables the realization of reservoir computing and the functions of artificial nociceptors and synapses. Additionally, the linkage between artificial nociceptors and synapses is examined based on injury-enhanced spike-time-dependent plasticity paradigms. This study underscores the Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN device's potential in neuromorphic computing, providing a framework for simulating nociceptors, synapses, and learning principles.</p>","PeriodicalId":7292,"journal":{"name":"Advanced Materials Technologies","volume":"9 19","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nociceptor-Enhanced Spike-Timing-Dependent Plasticity in Memristor with Coexistence of Filamentary and Non-Filamentary Switching\",\"authors\":\"Dongyeol Ju, Jungwoo Lee, Sungjun Kim\",\"doi\":\"10.1002/admt.202400440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In the era of big data, traditional computing architectures face limitations in handling vast amounts of data owing to the separate processing and memory units, thus causing bottlenecks and high-energy consumption. Inspired by the human brain's information exchange mechanism, neuromorphic computing offers a promising solution. Resistive random access memory devices, particularly those with bilayer structures like Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN, show potential for neuromorphic computing owing to their simple design, low-power consumption, and compatibility with existing technology. This study investigates the synaptic applications of Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN devices for neuromorphic computing. The unique coexistence of nonfilamentary and filamentary switching in the Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN device enables the realization of reservoir computing and the functions of artificial nociceptors and synapses. Additionally, the linkage between artificial nociceptors and synapses is examined based on injury-enhanced spike-time-dependent plasticity paradigms. This study underscores the Pt/TaO<sub>x</sub>/TiO<sub>x</sub>/TiN device's potential in neuromorphic computing, providing a framework for simulating nociceptors, synapses, and learning principles.</p>\",\"PeriodicalId\":7292,\"journal\":{\"name\":\"Advanced Materials Technologies\",\"volume\":\"9 19\",\"pages\":\"\"},\"PeriodicalIF\":6.4000,\"publicationDate\":\"2024-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Materials Technologies\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/admt.202400440\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials Technologies","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/admt.202400440","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Nociceptor-Enhanced Spike-Timing-Dependent Plasticity in Memristor with Coexistence of Filamentary and Non-Filamentary Switching
In the era of big data, traditional computing architectures face limitations in handling vast amounts of data owing to the separate processing and memory units, thus causing bottlenecks and high-energy consumption. Inspired by the human brain's information exchange mechanism, neuromorphic computing offers a promising solution. Resistive random access memory devices, particularly those with bilayer structures like Pt/TaOx/TiOx/TiN, show potential for neuromorphic computing owing to their simple design, low-power consumption, and compatibility with existing technology. This study investigates the synaptic applications of Pt/TaOx/TiOx/TiN devices for neuromorphic computing. The unique coexistence of nonfilamentary and filamentary switching in the Pt/TaOx/TiOx/TiN device enables the realization of reservoir computing and the functions of artificial nociceptors and synapses. Additionally, the linkage between artificial nociceptors and synapses is examined based on injury-enhanced spike-time-dependent plasticity paradigms. This study underscores the Pt/TaOx/TiOx/TiN device's potential in neuromorphic computing, providing a framework for simulating nociceptors, synapses, and learning principles.
期刊介绍:
Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.