Muhammet Alper Altan, Kamil Orman, Yunus Babacan, Abdullah Yesil
{"title":"Special memristor and memristor-based compact neuron circuit","authors":"Muhammet Alper Altan, Kamil Orman, Yunus Babacan, Abdullah Yesil","doi":"10.1142/s0218126624500919","DOIUrl":null,"url":null,"abstract":"Implementing neuron circuit using memristor can be more effective thanks to some properties of memristor such as nonlinearity. For this reason, many memristor-based neuron circuits have been found in the literature. This study presents a memristor-based floating neuron circuit that exhibits different types of spikes. In the proposed circuit, two classical memristors and one special memristor are utilized. The special memristor is designed to exhibit various pinched hysteresis loops and plays an important role in producing different spike types. The proposed special memristor can also be controlled using only one voltage source. Using memristors, we implemented a neuron circuit which can produce regular spike, bursting spike and fast spike. Also, neuron circuit has a floating structure, and so there is no restriction on using it with other circuit elements. All simulations are implemented in the SPICE simulation program with TSMC 0.18-[Formula: see text]m CMOS process parameters.","PeriodicalId":54866,"journal":{"name":"Journal of Circuits Systems and Computers","volume":"12 1","pages":"0"},"PeriodicalIF":0.9000,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Circuits Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0218126624500919","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Implementing neuron circuit using memristor can be more effective thanks to some properties of memristor such as nonlinearity. For this reason, many memristor-based neuron circuits have been found in the literature. This study presents a memristor-based floating neuron circuit that exhibits different types of spikes. In the proposed circuit, two classical memristors and one special memristor are utilized. The special memristor is designed to exhibit various pinched hysteresis loops and plays an important role in producing different spike types. The proposed special memristor can also be controlled using only one voltage source. Using memristors, we implemented a neuron circuit which can produce regular spike, bursting spike and fast spike. Also, neuron circuit has a floating structure, and so there is no restriction on using it with other circuit elements. All simulations are implemented in the SPICE simulation program with TSMC 0.18-[Formula: see text]m CMOS process parameters.
期刊介绍:
Journal of Circuits, Systems, and Computers covers a wide scope, ranging from mathematical foundations to practical engineering design in the general areas of circuits, systems, and computers with focus on their circuit aspects. Although primary emphasis will be on research papers, survey, expository and tutorial papers are also welcome. The journal consists of two sections:
Papers - Contributions in this section may be of a research or tutorial nature. Research papers must be original and must not duplicate descriptions or derivations available elsewhere. The author should limit paper length whenever this can be done without impairing quality.
Letters - This section provides a vehicle for speedy publication of new results and information of current interest in circuits, systems, and computers. Focus will be directed to practical design- and applications-oriented contributions, but publication in this section will not be restricted to this material. These letters are to concentrate on reporting the results obtained, their significance and the conclusions, while including only the minimum of supporting details required to understand the contribution. Publication of a manuscript in this manner does not preclude a later publication with a fully developed version.