Prototype 3-D optoelectronic neural system

Gökçe Yayla, Ashok V. Krishnamoorthy, Gary C. Marsden, Joe Ford, Volkan Ozgüz, Chi Fan, Subramania Krishnakumar, Jinghua Wang, Sadik C. Esener

Research output: Contribution to journalConference articlepeer-review

Abstract

We report the implementation of a prototype 3-D optoelectronic neural system that combines free-space optical interconnects with silicon-VLSI-based hybrid optoelectronic circuits. The prototype system consists of a 16-pixel input, 4-neuron hidden and a single-neuron output layer, where the denser input-to-hidden layer connections are optical. The input layer uses PLZT light modulators to generate optical outputs which are distributed to an optoelectronic analog neural network chip through space invariant holographic optical interconnects. Optical interconnections provide fan-out with negligible delay and allow the use of compact, purely on-chip electronic H-tree fan-in structures. The scalable prototype system achieves 8-bit electronic fan-in precision and a maximum speed of 640 million interconnections per second. The system was tested using synaptic weights learned off-system and applied to a simple line recognition task.

Original languageEnglish (US)
Pages (from-to)4-13
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1773
DOIs
StatePublished - Feb 2 1993
Externally publishedYes
EventPhotonics for Computers, Neural Networks, and Memories 1992 - San Diego, United States
Duration: Jul 22 1992 → …

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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