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Proceedings Paper

Microlaser-based compact optical neuro-processors (Invited Paper)
Author(s): Eung Gi Paek; Winston K. Chan; Chung-En Zah; Kwok-wai Cheung; L. Curtis; Constance J. Chang-Hasnain
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Paper 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.

Paper Details

Date Published: 30 October 1992
PDF: 12 pages
Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); doi: 10.1117/12.131207
Show Author Affiliations
Eung Gi Paek, Bell Communications Research (United States)
Winston K. Chan, Bell Communications Research (United States)
Chung-En Zah, Bell Communications Research (United States)
Kwok-wai Cheung, Bell Communications Research (Hong Kong)
L. Curtis, Bell Communications Research (United States)
Constance J. Chang-Hasnain, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 1812:
Optical Computing and Neural Networks
Ken Yuh Hsu; Hua-Kuang Liu, Editor(s)

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