Polymeric Memristor Based Artificial Synapses with Ultra-Wide Operating Temperature.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202209728
Abstract: Neuromorphic electronics, being inspired by how the brain works, hold great promise to the successful implementation of smart artificial systems. Among several neuromorphic hardware issues, a robust device functionality under extreme temperature is of particular… read more here.
Keywords: polymeric memristor; temperature; memristor based; memristor ... See more keywords
Electrochemical Memristor-Based Artificial Neurons and Synapses - fundamentals, applications, and challenges.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202301924
Abstract: Artificial neurons and synapses are considered essential for the progress of the future brain inspired computing, based on beyond von Neumann architectures. The present review provides a discussion on the common electrochemical fundamentals of biological… read more here.
Keywords: artificial cells; biological artificial; electrochemical memristor; memristor based ... See more keywords
Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3166-6
Abstract: The exponential stability problem for complex-valued memristor-based recurrent neural networks (CVMRNNs) with time delays is studied in this paper. As an extension of real-valued memristor-based recurrent neural networks, CVMRNNs can be separated into real and… read more here.
Keywords: valued memristor; based recurrent; memristor based; complex valued ... See more keywords
Asymptotic and finite-time synchronization of memristor-based switching networks with multi-links and impulsive perturbation
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3312-1
Abstract: Based on the structure and the working mechanism of real neurons, a new mathematical model of the memristor-based switching networks (MSNs) with multiple links and time-varying delays is proposed. Further, we study the asymptotic and… read more here.
Keywords: finite time; memristor based; time; switching networks ... See more keywords
Reduction 93.7% time and power consumption using a memristor-based imprecise gradient update algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10060-w
Abstract: The conventional computing system with the architecture of von Neumann has greatly benefited our humans for past decades, while it is also suffered from low efficiency due to the separation between a memory block and… read more here.
Keywords: memristor based; power consumption; memristor; time power ... See more keywords
Memristor-based approximate matrix multiplier
Sign Up to like & getrecommendations! Published in 2017 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-017-1029-9
Abstract: The parallel structure of matrix multipliers makes them fascinating candidates to benefit from memristors’ high density architecture. This paper first explains a memristor-based analog vector–matrix multiplier suitable for approximate computing. According to the existence of… read more here.
Keywords: matrix multiplier; based approximate; approximate matrix; memristor based ... See more keywords
Synchronization criteria for multiple memristor-based neural networks with time delay and inertial term
Sign Up to like & getrecommendations! Published in 2018 at "Science China Technological Sciences"
DOI: 10.1007/s11431-017-9189-3
Abstract: This present work uses different methods to synchronize the inertial memristor systems with linear coupling. Firstly, the math- ematical model of inertial memristor-based neural networks (IMNNs) with time delay is proposed, where the coupling matrix… read more here.
Keywords: neural networks; memristor based; memristor; synchronization ... See more keywords
Transient and steady coexisting attractors in a new memristor-based 4-D chaotic circuit
Sign Up to like & getrecommendations! Published in 2019 at "AEU - International Journal of Electronics and Communications"
DOI: 10.1016/j.aeue.2019.07.002
Abstract: Abstract In this study, a new current-controlled memristor is proposed and its characteristics are analyzed. Based on this new memristor, a new four-dimensional chaotic circuit is proposed. The complex dynamics of the proposed chaotic circuit… read more here.
Keywords: memristor based; new memristor; chaotic circuit; circuit ... See more keywords
On the periodic dynamics of memristor-based neural networks with leakage and time-varying delays
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.029
Abstract: In this paper, the periodic dynamics have been studied for a general kind of memristor-based neural networks with leakage and time-varying delays. Some new sufficient conditions have been derived ensuring that the existence, uniqueness and… read more here.
Keywords: neural networks; memristor based; networks leakage; leakage time ... See more keywords
Global attractivity of memristor-based fractional-order neural networks
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DOI: 10.1016/j.neucom.2016.09.100
Abstract: Abstract Some dynamical properties, especially the global attractivity, of memristor-based fractional-order neural networks (FNN) are discussed. By using Filippov solutions, the existence of memristor-based FNN's solutions is firstly guaranteed under a growth condition. With non-Lipschitz… read more here.
Keywords: memristor based; global attractivity; based fnn; attractivity memristor ... See more keywords
Modeling affections with memristor-based associative memory neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.10.028
Abstract: Abstract Implementing compact and energy-efficient synaptic elements using nanoscale memristors has elicited widespread interest in building neural network circuits. Not only can the memristive neural network offer powerful computation capability, but it also exhibits intelligent… read more here.
Keywords: memristor based; memory neural; associative memory; memristor ... See more keywords