DocumentCode
309326
Title
VLSI implementation of cellular neural network universal machine
Author
Paasio, Ari ; Dawidziuk, Adam ; Porra, Veikko
Author_Institution
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume
1
fYear
1996
fDate
13-16 Oct 1996
Firstpage
414
Abstract
In this paper a new solution for cellular neural network cell structure is presented. Different building blocks are discussed which are used in the cell. A chip has been made with 16 by 16 cells with additional circuitry to accomplish the whole structure of the CNN Universal Machine (CNNUM). Different measurement issues are also discussed
Keywords
CMOS integrated circuits; VLSI; cellular neural nets; mixed analogue-digital integrated circuits; neural chips; 0.8 micron; CMOS VLSI implementation; CNN universal machine; cellular neural network; neural network cell structure; Cellular neural networks; Circuit testing; Electronic circuits; Laboratories; Semiconductor device measurement; Switches; Turing machines; Variable structure systems; Very large scale integration; Wiring;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location
Rodos
Print_ISBN
0-7803-3650-X
Type
conf
DOI
10.1109/ICECS.1996.582860
Filename
582860
Link To Document