Results 31 to 40 of about 32,760 (348)

Regulation of firing rhythms in a four‐stable memristor‐based Hindmarsh–Rose neuron

Electronics Letters, 2021
This letter presents a novel locally active memristor with four‐stable pinched hysteresis loops which has never been reported before. The non‐volatile memory and local activity of the memristor are verified by the power‐off plot and DC V–I plot.
Zhijun Li, Haiyan Zhou
doaj   +1 more source

Efecto resistivo del Memristor en circuitos análogos [PDF]

, 2016
In 1971 Professor Chua proposed the fourth basic element circuits and called it the memristor, an element that must directly relate charge and magnetic flux. It’s call memristor because it must have a behavior as a memory and resistor.
Cardona, Juan Pablo, John Jairo Leal, Juan Pablo Cardona, Leal, John Jairo, Rodríguez, Diego Julián, Diego Julián Rodríguez   +5 more
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Polarity Reversal Effect of a Memristor From the Circuit Point of View and Insights Into the Memristor Fuse

Frontiers in Communications and Networks, 2021
As the memristor device is asymmetrical in nature, it is not a bilateral element like the resistor in terms of circuit functionality. Thus, it causes hindrance in some memristor-based applications such as in cellular nonlinear network neighborhood ...
Aliyu Isah, Aliyu Isah, A. S. Tchakoutio Nguetcho, S. Binczak, J.M. Bilbault   +4 more
doaj   +1 more source

A Nonvolatile Fractional Order Memristor Model and Its Complex Dynamics

Entropy, 2019
It is found that the fractional order memristor model can better simulate the characteristics of memristors and that chaotic circuits based on fractional order memristors also exhibit abundant dynamic behavior.
Jian Wu, Guangyi Wang, Herbert Ho-Ching Iu, Yiran Shen, Wei Zhou   +4 more
doaj   +1 more source

Efecto resistivo del memristor en circuitos analogos [PDF]

, 2016
El articulo muestra el comportamiento de un nuevo componente electro-mecánico cuando hace parte de un circuito RLC.En 1971 el profesor Chua propuso el cuarto elemento básico de circuitos y lo denominó el memristor, elemento que debe relacionar de manera
Rodríguez Patarroyo, Diego Julián, Cardona Guio, Juan Pablo, Leal Gómez, John Jairo   +2 more
core   +1 more source

Fractional memristor [PDF]

, 2017
Based on the differential conformal transformation in the fractional order, we defined the fractional memristor in contrast to the traditional (integer-order) memristor.
Wang, Frank Z., Frank Z. Wang, Leon O. Chua, Helian, Na, Na Helian, Huaqiang Wu, Wang, Frank Zhigang, Chua, Leon O, Luping Shi, Shi, Luping, Wu, Huaqiang   +10 more
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Discrete Memristor and Discrete Memristive Systems

Entropy, 2022
In this paper, we investigate the mathematical models of discrete memristors based on Caputo fractional difference and G–L fractional difference. Specifically, the integer-order discrete memristor is a special model of those two cases.
Shaobo He, Donglin Zhan, Huihai Wang, Kehui Sun, Yuexi Peng   +4 more
doaj   +1 more source

Phenomenological Modeling on the Nonideal Factors of Memristor Based on Single-Crystalline LiNbO₃ Thin Film

IEEE Journal of the Electron Devices Society
As a novel device, memristors attracted great attention because of its potential in neural network computing. However, the nonideal factors of memristors, such as conductance drift and programming errors, limit their performance in practical applications.
Yi Wang, Xinqiang Pan, Qin Xie, Junde Tong, Yao Shuai, Wenbo Luo, Chuangui Wu, Wanli Zhang   +7 more
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Configurable activation function realized by non-linear memristor for neural network

AIP Advances, 2020
The activation function is a crucial part for memristive neural networks. For the first time, we propose a memristor-based activation function by using the natural non-linear characteristics of the memristor itself. Compared to the virtual ground circuit
Kun Li, Yi Sun, Wei Wang, Xi Zhu, Bing Song, Rongrong Cao, Sen Liu, Qingjiang Li   +7 more
doaj   +1 more source

Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems [PDF]

, 2013
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks.
Andreou, Andreas G., Morabito, Francesco Carlo, Chicca, Elisabetta ; https://orcid.org/   +2 more
core   +1 more source