Search Results for "Memristor Available"

02:01 EST 31st January 2015 | 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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Giant switchable photovoltaic effect in organometal trihalide perovskite devices

The direction of the current photogenerated in organic–inorganic perovskite films can be switched by poling the material with low electric fields that induce a reversible ion drift. Hybrid perovskit...

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Memristor Models for Machine Learning.

In the quest for alternatives to traditional complementary metal-oxide-semiconductor, it is being suggested that digital computing efficiency and power can be improved by matching the precision to the...

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 ...

Finite-time synchronization control of a class of memristor-based recurrent neural networks.

This paper presents a global and local finite-time synchronization control law for memristor neural networks. By utilizing the drive-response concept, differential inclusions theory, and Lyapunov func...

Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training.

Learning in multilayer neural networks (MNNs) relies on continuous updating of large matrices of synaptic weights by local rules. Such locality can be exploited for massive parallelism when implementi...

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