New dimensions in D-STOP neural systems

Ashok V. Krishnamoorthy; Jean Merckle; Gokce I. Yayla; Gary C. Marsden; Karmak Mansoorian; Joseph Earl Ford; Sadik C. Esener

doi:10.1117/12.163591

9 November 1993 New dimensions in D-STOP neural systems

Ashok V. Krishnamoorthy; Jean Merckle; Gokce I. Yayla; Gary C. Marsden; Karmak Mansoorian; Joseph Earl Ford; Sadik C. Esener

Author Affiliations +

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163591
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Ashok V. Krishnamoorthy, Jean Merckle, Gokce I. Yayla, Gary C. Marsden, Karmak Mansoorian, Joseph Earl Ford, Sadik C. Esener, "New dimensions in D-STOP neural systems", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163591; https://doi.org/10.1117/12.163591

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