DocumentCode :
3333294
Title :
An optically programmed neural network
Author :
Kornfield ; Frye, R.C. ; Wong, C.C. ; Rietman, E.A.
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
fYear :
1988
fDate :
24-27 July 1988
Firstpage :
357
Abstract :
The author report on the design, construction and operation of a hybrid electrooptic computer intended for neural-network applications. They have configured this system to implement what they believe is the largest fully interconnected neural network built to date. The 14400 synapses in this network possess full analog depth and can be dynamically programmed over three decades of connection strength. The conductivity at each synapse is independently determined by the light flux it receives. A description is given of the use of amorphous silicon to implement a photoconductive array and of the building up from such an array of two neural-network configurations.<>
Keywords :
amorphous semiconductors; neural nets; optical information processing; silicon; 14400 synapses; amorphous Si; dynamic computer programming; full analog depth; fully interconnected neural network; hybrid electrooptic computer; light flux; optically programmed neural network; optimal conductivity; photoconductive array; Amorphous semiconductors; Neural networks; Optical data processing; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
Type :
conf
DOI :
10.1109/ICNN.1988.23948
Filename :
23948
Link To Document :
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