Pratyusha Nune, Santanu Mandal, Amit Saha, Rajesh Saha
{"title":"A generic simple model of synaptic memristor with local activity for neuromorphic applications","authors":"Pratyusha Nune, Santanu Mandal, Amit Saha, Rajesh Saha","doi":"10.1007/s10825-023-02007-x","DOIUrl":null,"url":null,"abstract":"<div><p>A non-volatile locally active memristor is a promising candidate for neuromorphic computing based on artificial synapses and neurons, due to its high-speed switching, strong scalability, high computing, and low power consumption. In this paper, a novel generic model of voltage-controlled memristor with local activity and synaptic behavior is proposed. The circuit design of this memristor is very simple and easy to fabricate. Using small-signal analysis, the behavior of local activity is analyzed for this memristor model. Through the theoretical study, three significant parameters are identified to derive an equivalent circuit (small-signal), which is important for the study on dynamics of this memristor. To check the feasibility of the proposed model, a hardware-based implementation is performed through breadboard analysis. Important fingerprints of this memristor are verified both in theoretically and experimentally. The hardware-based results confirm the non-volatile characteristic and synaptic behavior of this memristor. Several experimental results exhibit a tunable modulation of synaptic weights with pulses, which effectively mimic different bio-synaptic characteristics like potentiation, depression, STDP (Spike-Time-Dependent Plasticity), STP (Short-Term-Plasticity), LTP (Long-Term-Plasticity), learning, forgetting, PPF (Paired-Pulse Facility), and PTP (Post-Tetanic Potentiation).</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"22 2","pages":"612 - 625"},"PeriodicalIF":2.2000,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-023-02007-x","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1
Abstract
A non-volatile locally active memristor is a promising candidate for neuromorphic computing based on artificial synapses and neurons, due to its high-speed switching, strong scalability, high computing, and low power consumption. In this paper, a novel generic model of voltage-controlled memristor with local activity and synaptic behavior is proposed. The circuit design of this memristor is very simple and easy to fabricate. Using small-signal analysis, the behavior of local activity is analyzed for this memristor model. Through the theoretical study, three significant parameters are identified to derive an equivalent circuit (small-signal), which is important for the study on dynamics of this memristor. To check the feasibility of the proposed model, a hardware-based implementation is performed through breadboard analysis. Important fingerprints of this memristor are verified both in theoretically and experimentally. The hardware-based results confirm the non-volatile characteristic and synaptic behavior of this memristor. Several experimental results exhibit a tunable modulation of synaptic weights with pulses, which effectively mimic different bio-synaptic characteristics like potentiation, depression, STDP (Spike-Time-Dependent Plasticity), STP (Short-Term-Plasticity), LTP (Long-Term-Plasticity), learning, forgetting, PPF (Paired-Pulse Facility), and PTP (Post-Tetanic Potentiation).
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.