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Optical neural networks

Psaltis, Demetri and Levene, Michael (1994) Optical neural networks. In: Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review. Proceedings of SPIE. No.10277. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 141-149. ISBN 0819415510. https://resolver.caltech.edu/CaltechAUTHORS:20180530-100351156

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Abstract

The trade-off between the number of neurons that can be implemented with a single correlator and the shift invariance that each neuron has is investigated. A new type of correlator implemented with a planar hologram is described whose shift invariance can be controlled by setting the position of the hologram properly. The shift invariance and the capacity of correlators implemented with volume holograms is also investigated.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.171198DOIArticle
Additional Information:© 1994 Society of Photo-Optical Instrumentation Engineers (SPIE). This work is supported by ARPA. Michael Levene is partially supported by an NDSEG graduate fellowship. We also thank Sidney Li for his help.
Funders:
Funding AgencyGrant Number
Advanced Research Projects Agency (ARPA)UNSPECIFIED
National Defense Science and Engineering Graduate (NDSEG) FellowshipUNSPECIFIED
Series Name:Proceedings of SPIE
Issue or Number:10277
Record Number:CaltechAUTHORS:20180530-100351156
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180530-100351156
Official Citation:Demetri Psaltis, Michael Levene, "Optical neural networks", Proc. SPIE 10277, Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review, 1027709 (1 March 1994); doi: 10.1117/12.171198; https://doi.org/10.1117/12.171198
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:86705
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:01 Jun 2018 21:31
Last Modified:03 Oct 2019 19:47

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