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Applied Optics

Applied Optics


  • Vol. 26, Iss. 23 — Dec. 1, 1987
  • pp: 5077–5080

Electronic neural network chips

L. D. Jackel, H. P. Graf, and R. E. Howard  »View Author Affiliations

Applied Optics, Vol. 26, Issue 23, pp. 5077-5080 (1987)

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This paper reviews two custom electronic circuits that implement some simple models of neural function. The circuits include a thin-film array of read-only resistive synapses and an array of programmable synapses and amplifiers serving as electronic neurons. Circuit performance and architecture are discussed.

© 1987 Optical Society of America

Original Manuscript: May 15, 1987
Published: December 1, 1987

L. D. Jackel, H. P. Graf, and R. E. Howard, "Electronic neural network chips," Appl. Opt. 26, 5077-5080 (1987)

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  1. For a sampling of current research in neural modeling and artificial neural nets see J. S. Denker, Ed., Neural Networks For Computing, AIP Conf. Proc. 151 (1986).
  2. D. O. Hebb, The Organization of Behavior (Wiley, New York, 1949).
  3. W. Hubbard et al., “Electronic Neural Networks,” AIP Conf. Proc. 151, 227 (1986). [CrossRef]
  4. D. B. Schwartz et al., “Dynamics of Microfabricated Electronic Neural Networks,” Appl. Phys. Lett. 50, 1110 (1987). [CrossRef]
  5. J. S. Denker, “Neural Network Models of Learning and Adaptation,” Physica D, vol 22, (1986) p. 216. [CrossRef]
  6. H. P. Graf, P. deVegvar, “A CMOS Associative Memory Chip Based on Neural Networks,” in Technical Digest International Solid-State Circuits Conference IEEE, (New York, 1987), p. 304.
  7. H. P. Graf, P. deVegvar, “A CMOS Implementation of a Neural Network Model,” in Proceedings, Stanford Conference on Advanced Research in VLSI, March 1987 (MIT Press, Cambridge, 1987), p. 351.
  8. J. S. Denker, S. Mackey, D. Schwartz, B. Wittner, AT&T Bell Laboratories; private communication.
  9. J. J. Hopfield, D. W. Tank, “‘Neural’ Computation of Decisions in Optimization Problems,” Biol. Cybern. 52, 141 (1985). [PubMed]

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