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Design of a scalable opto-electronic neural system using free-space optical interconnects

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3 Author(s)
Krishnamoorthy, A.V. ; Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA ; Yayla, G. ; Esener, S.C.

The authors describe a three-dimensional opto-electronic neural system that uses a hybrid silicon VLSI-based opto-electronic integrated circuit (OEIC) technology to implement the neurons and their associated synapses and fixed, free-space optical diffractive elements to interconnect the neurons. The architecture provides full connectivity between neurons, flexible functionality of neurons and synapses, accurate electronic fan-in, and biologically inspired dendritic-type fan-in processing. The system requirements for neural network implementations are addressed. The architecture is described, and the technological feasibility of the system is discussed. Optimal data encoding methods are proposed. Low-area circuit designs with learning capabilities that achieve high linear dynamic range are presented

Published in:

Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on  (Volume:i )

Date of Conference:

8-14 Jul 1991