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

A. Piovaccari; G. Setti

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

A. Piovaccari, G. Setti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
Publisher	IEEEPiscataway, NJ, United States
State	Published - Dec 1 1994
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-15

Cite this

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title = "Versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks",

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.",

author = "A. Piovaccari and G. Setti",

note = "Generated from Scopus record by KAUST IRTS on 2023-02-15",

year = "1994",

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booktitle = "Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications",

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N2 - 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.

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M3 - Conference contribution

BT - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

PB - IEEEPiscataway, NJ, United States

ER -

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

Abstract

Bibliographical note

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