Title :
Optoelectronic cellular neural networks based on amorphous silicon thin film technology
Author :
Balsi, M. ; Ciancaglioni, I. ; Cimagalli, V. ; Galluzzi, F.
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
In this paper, hardware realization of cellular neural networks in amorphous silicon thin film technology is proposed. In this way, it is possible to realize inexpensive large-scale, easily programmable circuits, with integrated light-sensing and light-emitting devices
Keywords :
amorphous semiconductors; cellular neural nets; elemental semiconductors; integrated optoelectronics; light emitting diodes; optical neural nets; p-i-n photodiodes; silicon; thin film transistors; Si; amorphous silicon thin film technology; easily programmable circuits; integrated light-sensing devices; light-emitting devices; optoelectronic cellular neural networks; Amorphous silicon; Cellular neural networks; Electronic mail; Integrated circuit technology; Large scale integration; Neural network hardware; Programmable circuits; Semiconductor thin films; Thin film circuits; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381642
