Analogic cellular neural network as a bionic eye

Frank Werblin, T. Roska, Leon O. Chua

Research output: Contribution to journalArticle

150 Citations (Scopus)

Abstract

The conception of the CNN universal machine has led to the invention of the analogic CNN bionic eye. The basic idea is to combine the elementary functions, the building blocks, of the retina and other 2 1/2 D sensory organs, in a stored program of a CNN universal machine, through the use of artificial analogic programs. This paper discusses the biological aspects of the range of retinal function, the CNN paradigm and the CNN universal machine architecture and the general principles of retinal modeling in the CNN. The new CNN circuit and template design innovations that can be used to implement physiological functions in the retina and other sensory organs using the CNN universal machine are described. It is shown how to combine given retinal functional elements implemented in the CNN universal machine with analogic algorithms to form the bionic retina.

Original languageEnglish
Pages (from-to)541-569
Number of pages29
JournalInternational Journal of Circuit Theory and Applications
Volume23
Issue number6
Publication statusPublished - Nov 1995

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Bionics
Cellular neural networks
Retina
Cellular Networks
Neural Networks
Elementary Functions
Patents and inventions
Building Blocks
Template
Innovation
Paradigm
Networks (circuits)
Modeling
Range of data

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Analogic cellular neural network as a bionic eye. / Werblin, Frank; Roska, T.; Chua, Leon O.

In: International Journal of Circuit Theory and Applications, Vol. 23, No. 6, 11.1995, p. 541-569.

Research output: Contribution to journalArticle

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