9 November 1993 New dimensions in D-STOP neural systems
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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.
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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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