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Proceedings Paper

New dimensions in D-STOP neural systems
Author(s): Ashok V. Krishnamoorthy; Jean Merckle; Gokce I. Yayla; Gary C. Marsden; Karmak Mansoorian; Joseph Earl Ford; Sadik C. Esener
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Paper Abstract

This paper describes a scalable, highly connected, 3D optoelectronic neural system that uses free-space optical interconnects with silicon-VLSI based hybrid optoelectronic circuits. The system design uses an efficient combination of pulse-width modulating optoelectronic neurons and pulse-amplitude modulating electronic synapses. A prototype system is built and applied to a simple classification problem. An optoelectronic testbench for evaluating learning algorithms suitable for the optoelectronic architecture is implemented. Future directions for the optoelectronic architecture are also discussed; these include limited interconnect neural systems and parallel weight loading that allow receptive fields of arbitrary sizes and connection multiplexing to be achieved.

Paper Details

Date Published: 9 November 1993
PDF: 21 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163591
Show Author Affiliations
Ashok V. Krishnamoorthy, Univ. of California/San Diego (United States)
Jean Merckle, Univ. de Haute-Alsace (France)
Gokce I. Yayla, Univ. of California/San Diego (United States)
Gary C. Marsden, Univ. of California/San Diego (United States)
Karmak Mansoorian, Univ. of California/San Diego (United States)
Joseph Earl Ford, Univ. of California/San Diego (United States)
Sadik C. Esener, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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