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.
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Ruiz-Llata, M., Lamela, H. (2005). Fast Optoelectronic Neural Network for Vision Applications. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_62
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DOI: https://doi.org/10.1007/11494669_62
Publisher Name: Springer, Berlin, Heidelberg
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