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Applied Optics

Applied Optics


  • Vol. 31, Iss. 23 — Aug. 10, 1992
  • pp: 4712–4719

Optical neural network with bipolar neural states

Xu-Ming Wang and Guo-Guang Mu  »View Author Affiliations

Applied Optics, Vol. 31, Issue 23, pp. 4712-4719 (1992)

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A method to achieve bipolar performance in a single-channel optical associative memory is presented. By coding the biased interconnection weights, a distributed background, and an input-dependent dynamic threshold on a single mask, we construct an optical network with both bipolar neural states and bipolar interconnections. Content addressability and other properties are improved by the introduction of a distributed background, as compared with the case in which this background is not used. Computer simulations and optical experiments are performed based on the Hopfield algorithm.

© 1992 Optical Society of America

Original Manuscript: May 21, 1991
Published: August 10, 1992

Xu-Ming Wang and Guo-Guang Mu, "Optical neural network with bipolar neural states," Appl. Opt. 31, 4712-4719 (1992)

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  1. J. J. Hopfield, “Neural network and physical system with emergent collective computational abilities,” Proc. Natl. Acad. Sci. USA 79, 2554–2558 (1982). [CrossRef] [PubMed]
  2. N. H. Farhat, D. Psaltis, A. Prata, E. Paek, “Optical implementation of the Hopfield model,” Appl. Opt. 24, 1469–1475 (1985). [CrossRef] [PubMed]
  3. D. Psaltis, N. Farhat, “Optical information processing based on an associative-memory model of neural nets with thresholding and feedback,” Opt. Lett. 10, 98–100 (1985). [CrossRef] [PubMed]
  4. B. K. Jenkins, C. H. Wang, “Model for an incoherent optical neuron that subtracts,” Opt. Lett. 13, 892–894 (1988). [CrossRef] [PubMed]
  5. J.-S. Jang, S.-W. Jung, S.-Y. Lee, S.-Y. Shin, “Optical implementation of the Hopfield model for two-dimensional associative memory,” Opt. Lett. 13, 248–250 (1988). [CrossRef] [PubMed]
  6. P. Lalanne, P. Chavel, J. Taboury, “Optical inner-product implementation of neural network models,” Appl. Opt. 28, 377–385 (1989). [CrossRef] [PubMed]
  7. S.-H. Oh, T.-H. Yoon, J. C. Kim, “Associative-memory model based on neural networks: modification of Hopfield model,” Opt. Lett. 13, 74–76 (1988). [CrossRef] [PubMed]
  8. A. J. David, B. E. A. Saleh, “Optical implementation of the Hopfield algorithm using correlation,” Appl. Opt. 29, 1063–1064 (1990). [CrossRef] [PubMed]
  9. X.-M. Wang, G.-G. Mu, “Holographic associative memory with bipolar features,” in Wave Propagation and Scattering in Varied Media II, V. K. Varadam, ed., Proc. Soc. Photo-Opt. Instrum. Eng.1558, 1558–1565 (1991).
  10. D. J. Amit, H. Gutfreund, “Statistical mechanics of neural networks near saturation,” Ann. Phys. (N.Y.) 173, 30–67 (1987). [CrossRef]
  11. J. Ohta, M. Takahashi, Y. Nitta, S. Tai, K. Mitsunaga, K. Kyuma, “GaAs/AlGaAs optical synaptic interconnection device for neural networks,” Opt. Lett. 14, 844–846 (1989). [CrossRef] [PubMed]

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