Recurrent optical neural network for the study of pattern dynamics

Christoph Berger; Neil Collings; Daniel Gehriger

doi:10.1117/12.304949

1 April 1998 Recurrent optical neural network for the study of pattern dynamics

Christoph Berger, Neil Collings, Daniel Gehriger

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304949
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

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.

Citation Download Citation

Christoph Berger, Neil Collings, and Daniel Gehriger "Recurrent optical neural network for the study of pattern dynamics", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304949

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