Title :
Compact VLSI implementation of cellular neural network
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. Different measurement issues are also discussed
Keywords :
VLSI; cellular neural nets; neural chips; CNN Universal Machine; VLSI circuit; cellular neural network; CMOS process; CMOS technology; Cellular neural networks; Electronic circuits; Laboratories; Switches; Testing; Turing machines; Very large scale integration; Wiring;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.594214
