Review on memristor application in neural circuit and network
F Yang, J Ma, F Wu - Chaos, Solitons & Fractals, 2024 - Elsevier
Memristor is a nonlinear electronic component with memory properties, it is widely used in a
variety of nonlinear circuits for extensive adaptive control and model description of neural …
variety of nonlinear circuits for extensive adaptive control and model description of neural …
Towards oxide electronics: a roadmap
At the end of a rush lasting over half a century, in which CMOS technology has been
experiencing a constant and breathtaking increase of device speed and density, Moore's …
experiencing a constant and breathtaking increase of device speed and density, Moore's …
A higher dimensional chaotic map with discrete memristor
Although memristor has been widely discussed in recent years, the topic of memristor in
discrete domain is rarely mentioned. This paper presents a higher dimensional chaotic map …
discrete domain is rarely mentioned. This paper presents a higher dimensional chaotic map …
Emerging memristor-based logic circuit design approaches: A review
This article is a comprehensive review of the state-of-theart of memristor-based logic circuit
design concepts of the recent literature. Amongst all the identified circuit design approaches …
design concepts of the recent literature. Amongst all the identified circuit design approaches …
TiO2-based memristors and ReRAM: materials, mechanisms and models (a review)
E Gale - Semiconductor Science and Technology, 2014 - iopscience.iop.org
The memristor is the fundamental nonlinear circuit element, with uses in computing and
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …
computer memory. Resistive Random Access Memory (ReRAM) is a resistive switching …
CKFO: Convolution kernel first operated algorithm with applications in memristor-based convolutional neural network
This article presents a new convolution algorithm: convolution kernel first operated (CKFO),
which can solve the problem that the actual calculation is not reduced after pruning the …
which can solve the problem that the actual calculation is not reduced after pruning the …
Memristor for computing: Myth or reality?
CMOS technology and its sustainable scaling have been the enablers for the design and
manufacturing of computer architectures that have been fuelling a wider range of …
manufacturing of computer architectures that have been fuelling a wider range of …
[LIBRO][B] Memristor-based nanoelectronic computing circuits and architectures
I Vourkas, GC Sirakoulis - 2016 - Springer
Continued dimensional and functional scaling of Complementary Metal-Oxide-
Semiconductor (CMOS) technology is driving information processing into a broadening …
Semiconductor (CMOS) technology is driving information processing into a broadening …
Dynamics and chimera state in a neural network with discrete memristor coupling
Due to characteristics of memristor being highly similar to the principle and structure of
synapses in biological brains, memristor neural networks are widely studied. Discrete …
synapses in biological brains, memristor neural networks are widely studied. Discrete …
Stochasticity modeling in memristors
Diverse models have been proposed over the past years to explain the exhibiting behavior
of memristors, the fourth fundamental circuit element. The models varied in complexity …
of memristors, the fourth fundamental circuit element. The models varied in complexity …