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Part of the book series: Springer Series in Information Sciences ((SSINF,volume 8))

Abstract

“Neural computing” has recently become a popular science, following the linguistically and computationally oriented Artificial Intelligence research. Many expectations are aroused of new types of intriguing applications. In addition to great enthusiasm, however, one also needs some knowledge about facts and ideas which have already been known for some time, and a general philosophy telling what this new line of thinking is, and what the “neural computers” actually can do.

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References

  1. W.S. McCulloch, W.A. Pitts: Bull. Math. Biophysiol. 5, 115 (1943)

    Article  MathSciNet  MATH  Google Scholar 

  2. A.M. Turing: Proc. London Math. Soc., Ser. 2–42, 230 (1936)

    Google Scholar 

  3. E.F. More: Sequential Machines: Selected Papers ( Addison-Wesley, Reading, MA 1964 )

    Google Scholar 

  4. J.J. Hopfield, D.W. Tank: Science 233, 625 (1986)

    Article  ADS  Google Scholar 

  5. R. Hecht-Nielsen: In Optical and Hybrid Computing, ed. by H.H. Szu, R.F. Potter, SPIE 634, 277 (1986)

    Google Scholar 

  6. J.H. Holland: Adaptation in Natural and Artificial Systems ( Univ. of Michigan Press, Ann Arbor 1975 )

    Google Scholar 

  7. This definition appears in the tutorial material published by Hecht-Nielsen Neurocomputer Corporation (HNC) (San Diego 1987)

    Google Scholar 

  8. Y.A. Tsypkin: Adaptation and Learning in Cybernetic Systems ( Nauka, Moscow 1968 )

    Google Scholar 

  9. M. Aoki: Optimization of Stochastic Systems - Topics in Discrete-Time Systems ( Academic, New York 1967 )

    MATH  Google Scholar 

  10. G.A. Korn, T.M. Korn: Electronic Analog and Hybrid Computers ( McGraw-Hill, New York 1964 )

    MATH  Google Scholar 

  11. G.E. Hinton, T.J. Sejnowski, D.H. Ackley: Boltzmann Machines: Constraint Satisfaction Networks that Learn, Technical Report CMU-CS-84–119, Carnegie-Mellon University (1984)

    Google Scholar 

  12. D.H. Hubel, T.N. Wiesel: J. Comp. Neurol. 158, 307 (1974)

    Article  Google Scholar 

  13. D.H. Hubel, T.N. Wiesel: J. Neurophysiol. 18, 229 (1965)

    Google Scholar 

  14. D.H. Hubei, T.N. Wiesel: J. Physiol. 160, 106 (1962)

    Google Scholar 

  15. D. van Essen: in Cerebral Cortex, ed. by A. Peters, E.G. Jones ( Plenum, New York 1985 ) p. 259

    Google Scholar 

  16. D.I. Perrett, E.T. Rolls, W. Caan: Exp. Brain Res. 47, 329 (1982)

    Article  Google Scholar 

  17. K. Fukushima: Biol. Cyb. 36, 193 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  18. W.E. Reichardt, T. Poggio: Biol. Cyb. 46 (Suppl.), 1 (1983)

    Article  Google Scholar 

  19. J. Saarinen, T. Kohonen: Perception 14, 711 (1986)

    Article  Google Scholar 

  20. J.B. Dennis: Computer 13, 48 (November 1980)

    Article  Google Scholar 

  21. W.A. Little, G.L. Shaw: Behay. Biol. 14, 115 (1975)

    Article  Google Scholar 

  22. K.J.W. Craik: The Nature of Explanation (Cambridge Univ. Press, Cambridge 1943 )

    Google Scholar 

  23. J.A. Feldman: In Parallel Models of Associative Memory, ed. by G.E. Hinton, J.A. Anderson (Lawrence Erlbaum Ass., Hillsdale, NJ 1981 ) p.49 M.R. Quillian: Semantic Memory, in Semantic Information Processing, ed. by M. Minsky ( MIT Press, Cambridge, MA 1968 )

    Google Scholar 

  24. A. Kertesz: Localization in Neuropsychology ( Academic, New York 1983 )

    Google Scholar 

  25. R. Sorabji: Aristotle on Memory (Brown Univ. Press, Providence, RI 1972 )

    Google Scholar 

  26. T. Kohonen: Content-Addressable Memories, 2nd. ed., Springer Ser. Inform. Sci., Vol. 1 ( Springer, Berlin, Heidelberg 1987 )

    Google Scholar 

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© 1988 Springer-Verlag Berlin Heidelberg

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Kohonen, T. (1988). Notes on Neural Computing. In: Self-Organization and Associative Memory. Springer Series in Information Sciences, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-00784-6_9

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  • DOI: https://doi.org/10.1007/978-3-662-00784-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18314-3

  • Online ISBN: 978-3-662-00784-6

  • eBook Packages: Springer Book Archive

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