The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Optical implementation of the Hopfield model
Open accessAbstract
Optical implementation of content addressable associative memory based on the Hopfield model for neural networks and on the addition of nonlinear iterative feedback to a vector–matrix multiplier is described. Numerical and experimental results presented show that the approach is capable of introducing accuracy and robustness to optical processing while maintaining the traditional advantages of optics, namely, parallelism and massive interconnection capability. Moreover a potentially useful link between neural processing and optics that can be of interest in pattern recognition and machine vision is established.
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Fully parallel, high-speed incoherent optical method for performing discrete Fourier transforms
Goodman, J. W., Dias, A. R., & Woody, L. M. (1978) · Optics Letters · doi:10.1364/ol.2.000001 · Cited by 413
Psaltis, D., & Farhat, N. (1985) · Optics Letters · doi:10.1364/ol.10.000098 · Cited by 374
Self-citationTwo-Dimensional Magneto-Optic Spatial Light Modulator For Signal Processing
Ross, W. E., Psaltis, D., & Anderson, R. H. (1983) · Optical Engineering · doi:10.1117/12.7973148 · Cited by 190
Self-citation
Cited by
Deep learning with coherent nanophotonic circuits
Shen, Y., Harris, N. C., Skirlo, S., Prabhu, M., Baehr-Jones, T., Hochberg, M., Sun, X., Zhao, S., Larochelle, H., Englund, D., et al. (2017) · Nature Photonics · doi:10.1038/nphoton.2017.93 · Cited by 3,340
A comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
Linear programmable nanophotonic processors
Harris, N. C., Carolan, J., Bunandar, D., Prabhu, M., Hochberg, M., Baehr-Jones, T., Fanto, M. L., Smith, A. M., Tison, C. C., Alsing, P. M., et al. (2018) · Optica · doi:10.1364/optica.5.001623 · Cited by 396
Highlighting photonics: looking into the next decade
Chen, Z., & Segev, M. (2021) · eLight · doi:10.1186/s43593-021-00002-y · Cited by 320
Survey of neural network technology for automatic target recognition
Roth, M. W. (1990) · IEEE Transactions on Neural Networks · doi:10.1109/72.80203 · Cited by 268
Metadata
- Authors
- Farhat, N. H., Psaltis, D., Prata, A., & Paek, E.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 1985-05-15
- Volume
- 24
- Issue
- 10
- Pages
- 1469
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- OpenAlex
- W2083936311
- Cited by
- 601
- References
- 4
- FWCI
- 25.15
- Type
- journal article
- Language
- en
- Open access
- green
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- Farhat, N. H., Psaltis, D., Prata, A., & Paek, E. (1985). Optical implementation of the Hopfield model. Applied Optics. https://doi.org/10.1364/ao.24.001469
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