Memristive Device
ZnO porous silicon nanocomposite for possible memristive device fabrication
... a device whose main characteristic is the de- pendance of resistance according to the flux of charge passing through it and has the ability to remember its last resistance ...[3-5] Memristive switching ...
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Modeling triplet spike-timing-dependent plasticity using memristive devices
... novel memristive circuit that implements the TSTDP ...our memristive circuit induces synaptic weight changes that arise due to the timing differences among pairs and triplets of ...presented ...
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SIMULATIONS OF ARTIFICIAL NEURAL NETWORK WITH MEMRISTIVE DEVICES
... Using memristive devices or memristors [5], artificial neural networks can finally be fully implemented in hardware so that they can be retrained by changing the device ...
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Emulating long-term synaptic dynamics with memristive devices
... in memristive devices in a way that resemble the STDP induced changes in real synapses 21-27 ...of memristive devices and the physics governing the behavior of real synapses has been shown only at an ...
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In-Memory Computing by Using Nano-ionic Memristive Devices
... resistor device which was named Memistor, the three- terminal device with the ability to control its memristance by the time integral of current passes through the device, this device was not ...
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Emulating short-term synaptic dynamics with memristive devices
... between memristive devices and biophysically realistic models of synaptic ...low-power device offers enormous potential for the development of real-time neuromorphic computing ...
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Stochastic switching of TiO2 based memristive devices with identical initial memory states
... the device from low resistive state (LRS) to high resistive state (HRS), while an opposite switching trend occurred at +4 V in the following programming ...
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The applicability of SrTiO3 in memristive devices : a preliminary investigation
... A big advantage of memory based on these materials is that it only costs energy to read and write information. In the meantime (neglecting diffusive currents) the resistance remains the same so no power is needed. This ...
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Studies On Memristor Characterization Based On Non-Linear Dopant Drift Model Modeled With Window Function
... interest. Memristive devices focus on these attributes and were achieved using ...these memristive devices, the characteristion needs to be described by a mathematical ...
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Synaptic Plasticity and Learning Behaviors Mimicked in Single Inorganic Synapses of Pt/HfOx/ZnOx/TiN Memristive System
... TiN memristive device by loading different pulse num- bers (N = 10, 30, 60, 90, 120) are recorded in Fig. 5a–e. The results show that the synaptic weights begin to decay after the applied pulse is removed. ...
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A hybrid CMOS-memristor neuromorphic synapse
... using memristive devices [19], [5], [6], [20], [21], ...as memristive [5], [6], [10], [20], [22] counterparts and significantly improves learning capabilities of neuromorphic ...
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On Design of Memristive Amplifier Circuits
... conductance device offers different resistor values in its working states, and we make use of this to adjust the gain of the ...conductance memristive device offer resistances of ...
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A CMOS based Neuron Circuit for Spiking Neural Networks with Memristive Synapse
... Just like the neuron body in biological system, the neuron circuit is critical to SNNs. In unsupervised SNNs, the neuron should attain functions such as leaky-integrate-and-fire (LIF), inhibitory period, bidirectional ...
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Bi ferroic memristive properties of multiferroic tunnel junctions
... Despite the aforementioned solutions, one promising can- didate is multiferroic tunnel junctions (MFTJs), in which the ferroelectric/multiferroic layer is incorporated into a conven- tional magnetic tunnel junction (MTJ) ...
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Electric Charges That Behave as Magnetic Monopoles
... with the aid of the divergence theorem. V is a volume that surrounds the charges and S is the closed surface of the volume. ~n is the unit normal vector of the surface. The electromagnetic property of the inside of the ...
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Fractional-order 4D hyperchaotic memristive system and application in color image encryption
... hyperchaotic memristive system are analyzed by the phase diagram, Lyapunov exponent spectrum and bifurcation diagram according to the Adomian decomposition ...
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Associative learning with Y shaped floating gate transistors operated in memristive modes
... with memristive Hopfield neural networks, 4 memristive circuits 5,6,7,8 or magnetic tunnel ...the device, 12,13 which allows to combine information storage and processing on the same physical ...the ...
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Convergence analysis of algorithms for memristive oscillator system
... An important research problem is to develop some rigorous algorithm theories and de- sign tactics for solving memristive oscillator systems. Algorithm theories represent the structure common to a class of ...
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Memristive operation mode of a site controlled quantum dot floating gate transistor
... gates (see Fig. 4(b)). The pulses had a width of 10 ms and the time difference Dt was varied. After each pulse, the con- ductance G was determined with a read-out pulse (dashed line). Fig. 4(c) depicts the voltage ...
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Global Mittag Leffler synchronization of delayed fractional order memristive neural networks
... The memristor was first postulated by Chua in 1971, as the fourth fundamental circuit el- ement together with the resistor, inductor and capacitor [1]. In 2008, the Williams group announced a successful fabrication of a ...
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