Search Results for "Memristor Available"

21:41 EST 23rd November 2014 | BioPortfolio

Original Source: A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications.

Crossbar arrays based on two-terminal resistive switches have been proposed as a leading candidate for future memory and logic applications. Here we demonstrate a high-density, fully operational hybrid crossbar/CMOS system composed of a transistor- and diode-less memristor crossbar array vertically integrated on top of a CMOS chip by taking advantage of the intrinsic nonlinear characteristics of the memristor element. The hybrid crossbar/CMOS system can reliably store complex binary and multilevel 1600 pixe...

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Metal particles in solids aren't as fixed as they seem, memristor study shows

In work that unmasks some of the magic behind memristors and "resistive random access memory," or RRAM—cutting-edge computer components that combine logic and memory functions—researchers have sho...

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Quasi-Linear Vacancy Dynamics Modeling and Circuit Analysis of the Bipolar Memristor.

The quasi-linear transport equation is investigated for modeling the bipolar memory resistor. The solution accommodates vacancy and circuit level perspectives on memristance. For the first time in lit...

Memristor bridge synapse-based neural network and its learning.

Analog hardware architecture of a memristor bridge synapse-based multilayer neural network and its learning scheme is proposed. The use of memristor bridge synapse in the proposed architecture solves ...

New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes.

In this paper, we investigate synchronization for memristor-based neural networks with time-varying delay via an adaptive and feedback controller. Under the framework of Filippov's solution and differ...

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays.

This paper presents new theoretical results on the passivity and passification of a class of memristor-based recurrent neural networks (MRNNs) with time-varying delays. The casual assumptions on the b...

Neuronal Synapse as a Memristor: Modeling Pair- and Triplet-Based STDP Rule.

We propose a new memristive model for the neuronal synapse based on the spike-timing-dependent plasticity (STDP) protocol, considering both long-term and short-term plasticity in the synapse. Higher-o...

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