Journal ArticleDOI
Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays
Ailong Wu,Zhigang Zeng +1 more
TLDR
A general class of memristor-based recurrent neural networks with time-varying delays with exponential convergence and conditions on the nondivergence and global attractivity are established by using local inhibition.About:
This article is published in Neural Networks.The article was published on 2012-12-01. It has received 177 citations till now. The article focuses on the topics: Recurrent neural network & Memristor.read more
Citations
More filters
Posted Content
A Survey of Neuromorphic Computing and Neural Networks in Hardware.
Catherine D. Schuman,Thomas E. Potok,Robert M. Patton,J. Douglas Birdwell,Mark Edward Dean,Garrett S. Rose,James S. Plank +6 more
TL;DR: An exhaustive review of the research conducted in neuromorphic computing since the inception of the term is provided to motivate further work by illuminating gaps in the field where new research is needed.
Journal ArticleDOI
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
TL;DR: The present paper introduces memristor-based fractional-order neural networks and establishes the conditions on the global Mittag-Leffler stability and synchronization are established by using Lyapunov method.
Journal ArticleDOI
A Comprehensive Review on Emulsions and Emulsion Stability in Chemical and Energy Industries
Journal ArticleDOI
Projective synchronization of fractional-order memristor-based neural networks.
Haibo Bao,Jinde Cao,Jinde Cao +2 more
TL;DR: The projective synchronization of fractional-order memristor-based neural networks is investigated by derived in the sense of Caputo's fractional derivation and by combining a fractionAL-order differential inequality.
Journal ArticleDOI
Finite-time synchronization of fractional-order memristor-based neural networks with time delays
TL;DR: Using Laplace transform, the generalized Gronwall's inequality, Mittag-Leffler functions and linear feedback control technique, some new sufficient conditions are derived to ensure the finite-time synchronization of addressing FMNNs with fractional order α:1< α<2 and 0<α<1.
References
More filters
Journal ArticleDOI
Synchronization control of a class of memristor-based recurrent neural networks
TL;DR: Some sufficient conditions are obtained to guarantee the exponential synchronization of the coupled networks based on drive-response concept, differential inclusions theory and Lyapunov functional method.
Journal ArticleDOI
Nonlinear Dynamics of Memristor Oscillators
TL;DR: A wide gamut of complex dynamic behaviors, including chaos, is observed even in a simple network of memristor oscillators, proposed here as a good candidate for the realization of oscillatory associative and dynamic memories.
Journal ArticleDOI
Dynamical Properties and Design Analysis for Nonvolatile Memristor Memories
Yenpo Ho,Garng M. Huang,Peng Li +2 more
TL;DR: By starting from basicmemristor device equations, a comprehensive set of properties and design equations for memristor based memories are developed, specifically targeting key electrical memristOr device characteristics relevant to memory operations.
Journal ArticleDOI
Experimental demonstration of associative memory with memristive neural networks
TL;DR: In this paper, a memory-resistor (memristor for short) is used to emulate the synapse behavior of a neural network, which can remember its past dynamical history, store a continuous set of states, and be "plastic" according to the presynaptic and post-synaptic neuronal activity.
Journal ArticleDOI
Self-organized computation with unreliable, memristive nanodevices
TL;DR: This work proposes to mitigate device shortcomings and exploit their dynamical character by building self-organizing, self-healing networks that implement massively parallel computations, useful for complex pattern recognition problems.