Literature DB >> 20531647

Adaptive optical networks using photorefractive crystals.

D Psallis, D Brady, K Wagner.   

Abstract

The capabilities of photorefractive crystals as media for holographic interconnections in neural networks are examined. Limitations on the density of interconnections and the number of holographic associations which can be stored in photorefractive crystals are derived. Optical architectures for implementing various neural schemes are described. Experimental results are presented for one of these architectures.

Year:  1988        PMID: 20531647     DOI: 10.1364/AO.27.001752

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  5 in total

1.  Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks.

Authors:  Deniz Mengu; Yi Luo; Yair Rivenson; Aydogan Ozcan
Journal:  IEEE J Sel Top Quantum Electron       Date:  2019-06-06       Impact factor: 4.544

2.  Materials for emergent silicon-integrated optical computing.

Authors:  Alexander A Demkov; Chandrajit Bajaj; John G Ekerdt; Chris J Palmstrøm; S J Ben Yoo
Journal:  J Appl Phys       Date:  2021-08-19       Impact factor: 2.877

3.  Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification.

Authors:  Julie Chang; Vincent Sitzmann; Xiong Dun; Wolfgang Heidrich; Gordon Wetzstein
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

4.  Simulating self-learning in photorefractive optical reservoir computers.

Authors:  Floris Laporte; Joni Dambre; Peter Bienstman
Journal:  Sci Rep       Date:  2021-01-29       Impact factor: 4.379

5.  An optical neural network using less than 1 photon per multiplication.

Authors:  Tianyu Wang; Shi-Yuan Ma; Logan G Wright; Tatsuhiro Onodera; Brian C Richard; Peter L McMahon
Journal:  Nat Commun       Date:  2022-01-10       Impact factor: 14.919

  5 in total

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