Paper
30 October 1992 Microlaser-based compact optical neuro-processors (Invited Paper)
Author Affiliations +
Proceedings Volume 1812, Optical Computing and Neural Networks; (1992) https://doi.org/10.1117/12.131207
Event: International Symposium on Optoelectronics in Computers, Communications, and Control, 1992, Hsinchu, Taiwan
Abstract
This paper reviews the recent progress in the development of holographic neural networks using surface-emitting laser diode arrays (SELDAs). Since the previous work on ultrafast holographic memory readout system and a robust incoherent correlator, progress has been made in several areas: the use of an array of monolithic `neurons' to reconstruct holographic memories; two-dimensional (2-D) wavelength-division multiplexing (WDM) for image transmission through a single-mode fiber; and finally, an associative memory using time- division multiplexing (TDM). Experimental demonstrations on these are presented.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eung Gi Paek, Winston K. Chan, Chung-En Zah, Kwok-wai Cheung, L. Curtis, and Constance J. Chang-Hasnain "Microlaser-based compact optical neuro-processors (Invited Paper)", Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); https://doi.org/10.1117/12.131207
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KEYWORDS
Holography

3D image reconstruction

Neural networks

Image transmission

Content addressable memory

Holograms

Neurons

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