Memristor Cellular Nonlinear Networks

نویسندگان

چکیده

This paper presents a review of the theory and applications memristor cellular nonlinear networks. By mapping physical processes to memristive framework, all resistive switching devices can be modeled. The idea is find state variable that with high accuracy important features system, its dynamics, time evolution in response inputs memristor. In order develop new design memristor-based networks (MCNN), circuital mathematical models need introduced. this way, implementation into software packages for computer-aided integrated circuit realization achieved. Another challenging problem studying complex behavior MCNN by means local activity generalizing it various test cases. An application hardware these found nanostructures.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Memristor-based neural networks

The synapse is a crucial element in biological neural networks, but a simple electronic equivalent has been absent. This complicates the development of hardware that imitates biological architectures in the nervous system. Now, the recent progress in the experimental realization of memristive devices has renewed interest in artificial neural networks. The resistance of a memristive system depen...

متن کامل

Sparse coding with memristor networks.

Sparse representation of information provides a powerful means to perform feature extraction on high-dimensional data and is of broad interest for applications in signal processing, computer vision, object recognition and neurobiology. Sparse coding is also believed to be a key mechanism by which biological neural systems can efficiently process a large amount of complex sensory data while cons...

متن کامل

Data Clustering using Memristor Networks

Memristors have emerged as a promising candidate for critical applications such as non-volatile memory as well as non-Von Neumann computing architectures based on neuromorphic and machine learning systems. In this study, we demonstrate that memristors can be used to perform principal component analysis (PCA), an important technique for machine learning and data feature learning. The conductance...

متن کامل

Tunneling-Phase Logic Based Cellular Nonlinear Networks

The conti nued scali ng of integ rated circu it techn ology at its curre nt Moore s Law rate could lead to circu its conta ining over a billi on trans istors with 20 nanom eter featu res by the year 2015. While the progr ess in elect ronics thus far has relie d on the scali ng of trans istors and on an incre asingly compl ex maze of inter connecting wires , futur e circu itry will requi re a ma...

متن کامل

Tunneling phase Logic Cellular nonlinear Networks

Based on a simple circuit model of a tunneling phase logic (TPL) element that is driven by a sinusoidal voltage source and biased by a DC voltage source, we present simulations of operations in cellular nonlinear networks (CNN) that could potentially be used to perform general computations in 2D arrays of simple, locally connected nanoscale devices. Some examples are presented to demonstrate th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics

سال: 2023

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math11071601