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Discrete Second-Order Memristor and Its Application to Chaotic Map
IEEE Transactions on Circuits and Systems - II - Express BriefsIn recent years discrete memristors have attracted the attention of researchers, but the current research stays on discrete first-order memristors, and there is little research on discrete second-order memristors.
J. Mou +3 more
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Planar Homogeneous Coexisting Hyperchaos in Bi-Memristor Cyclic Hopfield Neural Network
IEEE transactions on industrial electronics (1982. Print)Memristors with synaptic plasticity can act as changeable connection weights. To address the issue of no chaos in cyclic trineuron Hopfield neural network with resistive weights, a bimemristor cyclic Hopfield neural network (BM-CHNN) is presented by ...
Han Bao +4 more
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FIRST-ORDER MEMRISTOR–CAPACITOR FILTER CIRCUITS EMPLOYING HP MEMRISTOR
Journal of Circuits, Systems and Computers, 2014The memristor has drawn the worldwide attention since it has been discovered at HP laboratory on 1 May 2008. Since then many researchers are taking efforts to find its applications in various areas. In this paper, we study the filter characteristics of first-order low pass and high pass filters employing memristor with a capacitor.
ÇAM, UĞUR, Sozen, Hasan
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Memristor Cellular Automata and Memristor Discrete-Time Cellular Neural Networks
International Journal of Bifurcation and Chaos, 2009In this paper, we design a cellular automaton and a discrete-time cellular neural network (DTCNN) using nonlinear passive memristors. They can perform a number of applications, such as logical operations, image processing operations, complex behaviors, higher brain functions, RSA algorithm, etc. By modifying the characteristics of nonlinear memristors,
Itoh, Makoto, Chua, Leon O.
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Journal of the American Chemical Society
The biological neural network is a highly efficient in-memory computing system that integrates memory and logical computing functions within synapses.
Yixin Ling +7 more
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The biological neural network is a highly efficient in-memory computing system that integrates memory and logical computing functions within synapses.
Yixin Ling +7 more
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ACS Nano
Living organisms use ions and small molecules as information carriers to communicate with the external environment at ultralow power consumption. Inspired by biological systems, artificial ion-based devices have emerged in recent years to try to realize efficient information-processing paradigms.
Guoheng Xu +5 more
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Living organisms use ions and small molecules as information carriers to communicate with the external environment at ultralow power consumption. Inspired by biological systems, artificial ion-based devices have emerged in recent years to try to realize efficient information-processing paradigms.
Guoheng Xu +5 more
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2010
The capacitor was discovered in 1745 by Ewald Georg von Kleist, whose encounter with a generator and a jar of water shocked him so severely that he declared himself unwilling to repeat the experience “for the kingdom of France.” The resistor announced itself to mankind somewhat less dramatically in 1827, followed by the inductor in 1831.
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The capacitor was discovered in 1745 by Ewald Georg von Kleist, whose encounter with a generator and a jar of water shocked him so severely that he declared himself unwilling to repeat the experience “for the kingdom of France.” The resistor announced itself to mankind somewhat less dramatically in 1827, followed by the inductor in 1831.
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Initial-Boosted Behaviors and Synchronization of Memristor-Coupled Memristive Systems
IEEE Transactions on Circuits and Systems Part 1: Regular PapersBecause of the special nonlinearity with inner states, memristors can induce the initial-condition-dependent extreme multistability in their constituent systems.
Mo Chen +5 more
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Organic memristors : Basic principles
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010Polymeric nonlinear electrochemical element, known also as organic memristor is described. Its architecture, properties and possible applications are discussed. In addition, model adaptive circuits and bio-inspired mimicking features are presented.
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