9 November 1993 New dimensions in D-STOP neural systems
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashok V. Krishnamoorthy, Ashok V. Krishnamoorthy, Jean Merckle, Jean Merckle, Gokce I. Yayla, Gokce I. Yayla, Gary C. Marsden, Gary C. Marsden, Karmak Mansoorian, Karmak Mansoorian, Joseph Earl Ford, Joseph Earl Ford, Sadik C. Esener, 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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