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DEC 01, 1988

Studies of disordered systems have generated new insights into the cooperative behavior and emergent computational properties of large, highly connected networks of simple, neuron‐like processors.

DOI: 10.1063/1.881142

References

1. 1. W. S. McCulloch, W. A. Pitts, Bull. Math. Biophys. 5, 115 (1943).https://doi.org/BMBIAO

2. 2. D. O. Hebb, The Organization of Behavior, Wiley, New York (1949).

3. 3. F. Rosenblatt, Principles of Neurodynamics, Spartan, Washington, D.C. (1961).
   M. Minsky, S. Papert, Perceptrons, MIT P., Cambridge, Mass. (1988).

4. 4. B. Widrow, in Self‐Organizing Systems, M. C. Yovits, G. T. Jacobi, G. D. Goldstein, eds., Spartan, Washington, D.C. (1962).

5. 5. S. Amari, K. Maginu, Neural Networks 1, 63 (1988), and references therein.https://doi.org/NNETEB

6. 6. S. Grossberg, Neural Networks 1, 17 (1988), and references therein.https://doi.org/NNETEB

7. 7. T. Kohonen, Self Organization and Associative Memory, Springer‐Verlag, Berlin (1984).
   T. Kohonen, Neural Networks 1, 3 (1988).https://doi.org/NNETEB

8. 8. W. A. Little, Math. Biosci. 19, 101 (1974). https://doi.org/MABIAR
   W. A. Little, G. L. Shaw, Math. Biosci. 39, 281 (1978).https://doi.org/MABIAR

9. 9. J. J. Hopfield, Proc. Natl. Acad. Sci. USA 79, 2554 (1982). https://doi.org/PNASA6
   J. J. Hopfield, D. W. Tank, Science 233, 625 (1986), and references therein.https://doi.org/SCIEAS

10. 10. M. Mezard, G. Parisi, M. A. Virasoro, Spin Glass Theory and Beyond, World Scientific, Singapore (1987).
    K. Binder, A. P. Young, Rev. Mod. Phys. 58, 801 (1986).https://doi.org/RMPHAT

11. 11. V. Braitenberg, in Brain Theory, G. Palm, A. Aertsen, eds., Springer‐Verlag, Berlin (1986), p. 81.

12. 12. K. Binder, ed., Applications of the Monte Carlo Methods in Statistical Physics, Springer‐Verlag, Berlin (1984).

13. 13. D. E. Rumelhart, J. L. McClell and the PDP Group, Parallel Distributed Processing, MIT P., Cambridge, Mass. (1986).

14. 14. D. Kleinfeld, H. Sompolinsky, Biophys. Jour., in press, and references therein.

15. 15. S. R. Kelso, A. H. Ganong, T. H. Brown, Proc. Natl. Acad. Sci. USA 83, 5326 (1986). https://doi.org/PNASA6
    G. V. diPrisco, Prog. Neurobiol. 22, 89 (1984).

16. 16. D. J. Amit, H. Gutfreund, H. Sompolinsky, Phys. Rev. A 32, 1007 (1985). https://doi.org/PLRAAN
    D. J. Amit, H. Gutfreund, H. Sompolinsky, Ann. Phys. N. Y. 173, 30 (1987), and references therein.https://doi.org/APNYA6

17. 17. M. Abeles, Local Cortical Circuits, Springer‐Verlag Berlin (1982).

18. 18. D. J. Willshaw, O. P. Buneman, H. C. Longuet‐Higgins, Nature 222, 960 (1969). https://doi.org/NATUAS
    A. Moopen, J. Lambe, P. Thakoor, IEEE SMC 17, 325 (1987).

19. 19. E. Gardner, J. Phys. A 21, 257 (1988). https://doi.org/JPHAC5
    A. D. Bruce, A. Canning, B. Forrest, E. Gardner, D. J. Wallace, in Neural Networks for Computing, J. S. Denker, ed., AIP, New York (1986) p. 65.

20. 20. A. Crisanti, H. Sompolinsky, Phys. Rev. A 37, 4865 (1988).https://doi.org/PLRAAN

21. 21. S. Kirkpatrick, C. D. GellatJr., M. P. Vecchi, Science 220, 671 (1983).https://doi.org/SCIEAS

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© 1988 American Institute of Physics