Journal ArticleDOI
Cellular neural networks: theory
Leon O. Chua,L. Yang +1 more
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TLDR
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.Abstract:
A novel class of information-processing systems called cellular neural networks is proposed. Like neural networks, they are large-scale nonlinear analog circuits that process signals in real time. Like cellular automata, they consist of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly only through their nearest neighbors. Each cell is made of a linear capacitor, a nonlinear voltage-controlled current source, and a few resistive linear circuit elements. Cellular neural networks share the best features of both worlds: their continuous-time feature allows real-time signal processing, and their local interconnection feature makes them particularly adapted for VLSI implementation. Cellular neural networks are uniquely suited for high-speed parallel signal processing. >read more
Citations
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Journal ArticleDOI
An Emulated Digital CNN Implementation
Péter Keresztes,Ákos Zarándy,Tamás Roska,Péter Szolgay,Tamás Bezák,Timót Hidvégi,Péter Jónás,Attila Katona +7 more
TL;DR: A new emulated digital CNN Universal Machine chip architecture is introduced and the main steps of the design process are shown and its variable precision capability allows the user to trade off precision for speed.
Journal ArticleDOI
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching
Zhenyuan Guo,Linlin Liu,Jun Wang +2 more
TL;DR: Under some reasonable assumptions on the switching threshold and activation functions, by using the state-space decomposition method, contraction mapping theorem, and strictly diagonally dominant matrix theory, the number of equilibria as well as the stability/instability of theEquilibria is characterized.
Journal ArticleDOI
An exact and direct analytical method for the design of optimally robust CNN templates
Martin Hänggi,George S. Moschytz +1 more
TL;DR: An analytical design approach for the class of bipolar cellular neural networks (CNN's) which yields optimally robust template parameters and a rigorous definition of absolute and relative robustness is given.
Proceedings ArticleDOI
Cellular nanoscale network cell with memristors for local implication logic and synapses
Mika Laiho,Eero Lehtonen +1 more
TL;DR: This paper describes a cellular nanoscale network cell structure that is aimed to be built as a CMOS-nanomemristor hybrid, which uses memristors as ON-OFF programmable synapses, local logic and memory.
Journal ArticleDOI
The evolution of reaction-diffusion controllers for minimally cognitive agents
Kyran Dale,Phil Husbands +1 more
TL;DR: This article describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a minimally cognitive animat, and the RD system chosen was that first described by Gray and Scott.
References
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Neurons with graded response have collective computational properties like those of two-state neurons
TL;DR: In this article, a model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied, which has collective properties in very close correspondence with the earlier stochastic model based on McCulloch--Pitts neurons.
Journal ArticleDOI
Neural computation of decisions in optimization problems
John J. Hopfield,David W. Tank +1 more
TL;DR: Results of computer simulations of a network designed to solve a difficult but well-defined optimization problem-the Traveling-Salesman Problem-are presented and used to illustrate the computational power of the networks.