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Proceedings Paper

Recurrent optical neural network for the study of pattern dynamics
Author(s): Christoph Berger; Neil Collings; Daniel Gehriger
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Paper Abstract

We report on ongoing work with a compact all-optical recurrent neural network with 16 X 16 channels and 256 X 256 reconfigurable interconnects (weights). We will present the optical setup and report on experimental work with the system and its building blocks. The microlens-based setup shows excellent imaging properties and easy alignability. After optimizing the setup, losses could be realized by more than an order of magnitude. The system performance is currently limited by inhomogeneities of the thresholding device.

Paper Details

Date Published: 1 April 1998
PDF: 12 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304949
Show Author Affiliations
Christoph Berger, Univ. of Neuchatel (Switzerland)
Neil Collings, Univ. of Neuchatel (United Kingdom)
Daniel Gehriger, Univ. of Neuchatel (Switzerland)

Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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