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Memristive oscillator to memristive map, energy characteristic
Most of nonlinear oscillators composed of capacitive and inductive variables can obtain the Hamilton energy by using the Helmholtz theorem when the...
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Two simple memristive maps with adaptive energy regulation and digital signal process verification
Mathematical models can produce desired dynamics and statistical properties with the insertion of suitable nonlinear terms, while energy...
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Neuromorphic Circuits with Redox-Based Memristive Devices
This chapter addresses opportunities for memristive devices in the framework of neuromorphic computing. Memristive devices are two-terminal circuit...
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Nanofluidic logic with mechano–ionic memristive switches
Neuromorphic systems are typically based on nanoscale electronic devices, but nature relies on ions for energy-efficient information processing....
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A new four-dimensional memristive system, synchronization and its application in image encryption
In this paper, a new four-dimensional (4D) memristive system is presented by introducing a memristor equation to a 3D chaotic system. Firstly, the...
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Initial-condition-controlled synchronization behaviors in inductively coupled memristive Chua’s circuits
Field coupling via capacitor, inductor, or memristor has been applied for synchronization and consensus between nonlinear circuits and neural...
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Memristive Switching: From Individual Nanoparticles Towards Complex Nanoparticle Networks
Novel hardware concepts in the framework of neuromorphic engineering are intended to overcome fundamental limits of current computer technologies and...
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Redox-Based Bi-Layer Metal Oxide Memristive Devices
In a memristor or a so-called memristive device, the resistance state depends on the previous charge flow through the device. The new resistance...
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A discrete memristive neuron and its adaptive dynamics
Capacitive membrane and inductive channels enable the approach of neural activities in some equivalent neural circuits, and involvement of memristive...
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Integration of Memristive Devices into a 130 nm CMOS Baseline Technology
The two main features of the memristive devices which makes them the promising candidates for neuromorphic applications are low power consumption and...
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Firing mechanism based on single memristive neuron and double memristive coupled neurons
Memristive neurons and memristive neural networks constructed based on memristors have important research significance for revealing the mystery of...
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How to define energy function for memristive oscillator and map
During the release and propagation of intracellular and extracellular ions, electromagnetic field is induced accompanying with propagation of energy...
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Dynamics in a memristive neuron under an electromagnetic field
Propagation and exchange of electrical signals between neurons mainly depend on the controllability of synapses. These electrical signals will affect...
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4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller
This paper aims to propose an efficient algorithm for the synchronization of 4-D memristive chaotic systems and their applications for audio secure...
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Imperfection-enabled memristive switching in van der Waals materials
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling and integration capabilities. As a result, they are of...
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Synchronization and complex dynamics in locally active threshold memristive neurons with chemical synapses
Memristor has been extensively employed to emulate neuron/synapse-inspired behaviors and to characterize the electromagnetic induction generated by...
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Memristive/CMOS Devices for Neuromorphic Applications
Neuromorphic computing aims at processing information in a way which is similar to the human brain, therefore featuring the ability to learn, adapt,...
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Grid multi-scroll attractors in memristive Hopfield neural network under pulse current stimulation and multi-piecewise memristor
Grid multi-scroll attractors are widely studied in the traditional chaotic systems but are rarely appeared in the neural network systems. This paper...
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Integrated circuit design of a discrete memristive chaotic system optimized by the fixed-point specific processor with acceleration instructions
Currently, design and application of discrete memristor aroused much interests. In this paper, digital integrated circuits of discrete memristive...
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The global Mittag-Leffler synchronization problem of Caputo fractional-order inertial memristive neural networks with time-varying delays
This paper investigates the global Mittag-Leffler synchronization problem of Caputo fractional-order inertial memristive neural networks with...
