Versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks

A. Piovaccari, G. Setti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The design of a new CMOS building block to be used for analogically programming the control and the feedback operators of cellular neural networks is reported. The circuit was used for a repetitive programming procedure for motion detection in a 9000-transistors 7×7 CNN.
Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
PublisherIEEEPiscataway, NJ, United States
StatePublished - Dec 1 1994
Externally publishedYes

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