Journal ArticleDOI
Cellular neural networks with non-linear and delay-type template elements and non-uniform grids
Tamás Roska,Leon O. Chua +1 more
TLDR
This paper extends the current repertoire of CNN cloning template elements (atoms) by introducing additional non-linear and delay-type characteristics and shows that the CNN with these generalized cloning templates has a general programmable circuit structure (a prototype machine) with analogue macros and algorithms.Abstract:
The cellular neural network (CNN) paradigm is a powerful framework for analogue non-linear processing arrays placed on a regular grid. In this paper we extend the current repertoire of CNN cloning template elements (atoms) by introducing additional non-linear and delay-type characteristics. In addition, architectures with non-uniform processors and neighbourhoods (grid sizes) are introduced. With this generalization, several well-known and powerful analogue array-computing structures can be interpreted as special cases of the CNN. Moreover, we show that the CNN with these generalized cloning templates has a general programmable circuit structure (a prototype machine) with analogue macros and algorithms. the relations with the cellular automaton (CA) and the systolic array (SA) are analysed. Finally, some robust stability results and the state space structure of the dynamics are presented.read more
Citations
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Journal ArticleDOI
The CNN paradigm
Leon O. Chua,Tamás Roska +1 more
TL;DR: In this article, the cellular neural network (CNN) paradigm is given, along with a precise taxonomy and a concise tutorial description of the CNN paradigm, and the canonical equations are described.
Journal ArticleDOI
The CNN universal machine: an analogic array computer
Tamás Roska,Leon O. Chua +1 more
TL;DR: The CNN universal machine is described, emphasizing its programmability as well as global and distributed analog memory and logic, high throughput via electromagnetic waves, and complex cells that may be used also for simulating a broad class of PDEs.
Journal ArticleDOI
Global asymptotic stability of a general class of recurrent neural networks with time-varying delays
Jinde Cao,Jun Wang +1 more
TL;DR: Several new sufficient conditions for ascertaining the existence, uniqueness, and global asymptotic stability of the equilibrium point of such recurrent neural networks are obtained by using the theory of topological degree and properties of nonsingular M-matrix, and constructing suitable Lyapunov functionals.
Journal ArticleDOI
Global asymptotic and robust stability of recurrent neural networks with time delays
Jinde Cao,Jun Wang +1 more
TL;DR: Several sufficient conditions are derived for the existence, uniqueness, and GRS of equilibria for interval neural networks with time delays by use of a new Lyapunov function and matrix inequality.
Journal ArticleDOI
Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay
TL;DR: New delay-dependent stability criteria for RNNs with time-varying delay are derived by applying this weighting-delay method, which are less conservative than previous results.
References
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Journal ArticleDOI
Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Journal ArticleDOI
Cellular neural networks: theory
Leon O. Chua,L. Yang +1 more
TL;DR: In this article, a class of information processing systems called cellular neural networks (CNNs) are proposed, which consist of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly through their nearest neighbors.
Book
Analog VLSI and Neural Systems
TL;DR: This chapter discusses a simple circuit that can generate a sinusoidal response and calls this circuit the second-order section, which can be used to generate any response that can be represented by two poles in the complex plane, where the two poles have both real and imaginary parts.
Journal ArticleDOI
Cellular neural networks: applications
Leon O. Chua,Lin-Bao Yang +1 more
TL;DR: Examples of cellular neural networks which can be designed to recognize the key features of Chinese characters are presented and their applications to such areas as image processing and pattern recognition are demonstrated.
Journal ArticleDOI
Convergent activation dynamics in continuous time networks
TL;DR: The activation dynamics of nets are considered from a rigorous mathematical point of view and an extension of the Cohen-Grossberg convergence theorem is proved for certain nets with nonsymmetric weight matrices.
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