Fast optoelectronic neural network for vision applications

  • Authors:
  • Marta Ruiz-Llata;Horacio Lamela

  • Affiliations:
  • Universidad Carlos III de Madrid, Leganés, Madrid, Spain;Universidad Carlos III de Madrid, Leganés, Madrid, Spain

  • Venue:
  • IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
  • Year:
  • 2005

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Abstract

This paper reports the recent steps to the attainment of a compact high-speed optoelectronic neuroprocessor based on an optical broadcast architecture that is used as the processing core of a vision system. The optical broadcast architecture is composed of a set of electronic processing elements that work in parallel and whose input is introduced by means of an optical sequential broadcast interconnection. Because of the special characteristics of the architecture, that exploits electronics for computing and optics for communicating, it is readily scalable in number of neurons and speed, thus improving the performance of the vision system. This paper focuses on the improvement of the optoelectronic system and electronic neuron design to increase operation speed with respect to previous designs.