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
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;
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
DOI :
10.1109/ICECS.1996.582860
