Bee foraging in uncertain environments using predictive hebbian learning (original) (raw)

References

  1. Hammer, M. Nature 366, 59–63 (1993).
    Article ADS CAS Google Scholar
  2. Hammer, M. & Menzel, R. J. Neuroscience 15, 1617–1630 (1995).
    Article CAS Google Scholar
  3. Couvillon, P. A. & Bitterman, M. E. Anim. Leam. Behav. 13, 246–252 (1985).
    Article Google Scholar
  4. Couvillon, P. A. & Bitterman, M. E. Anim. Leam. Behav. 14, 225–231 (1986).
    Article Google Scholar
  5. Couvillon, P. A., Lee, Y. & Bitterman, M. E. Anim. Leam. Behav. 19, 381–387 (1991).
    Article Google Scholar
  6. Greggers, U. & Menzel, M. Behav. Ecol. Sociobiol. 32, 17–29 (1993).
    Article Google Scholar
  7. Menzel, R., Greggers, U. & Hammer, M. in Insect Learning: Ecology and Evolutionary Perspectives (eds Papaj, D. R. & Lewis, A. C.) 79–125 (Chapman and Hall, London. 1993).
    Book Google Scholar
  8. Real, L. A. Science 253, 980–986 (1991).
    Article ADS CAS Google Scholar
  9. Real, L. A. Ecology 62, 20–26 (1981).
    Article Google Scholar
  10. Harder, L. D. & Real, L. A. Ecology 68, 1104–1108 (1987).
    Article Google Scholar
  11. Real, L. A., Ellner, S. & Harder, L. D. Ecology 71 1625–1628 (1990).
    Article Google Scholar
  12. Beny, D. A. & Fristedt, B. Bandit Problems: Sequential Allocation of Experiments (Chapman and Hall, London, 1985).
    MATH Google Scholar
  13. Krebs, J. R., Kacelnik, A. & Taylor, P. Nature 275, 27–31 (1978).
    Article ADS Google Scholar
  14. Montague, P. R., Dayan, P. Nowlan, S. J. Pouget, A. & Sejnowskl, T. J. in Advances in Neural Information Processing Systems 5 (eds Hanson, S. J., Cowan, J. D. & Giles, C. L.) 969–976 (Morgan Kaufmann, San Mateo, CA. 1993).
    Google Scholar
  15. Montague, P. R. & Sejnowskl, T. J. Learn. Memory 1, 1–33 (1994).
    CAS Google Scholar
  16. Konorski, J. Conditioned Reflexes and Neuron Organization (Cambridge University Press, Cambridge, 1948).
    Google Scholar
  17. Hebb, D. O. The Organization of Behavior (Wiley, New York, 1949).
    Google Scholar
  18. Samuel, A. L. IBM. J. Res. Dev. 3, 211–229 (1959).
    Article Google Scholar
  19. Sutton, R. S. & Barto, A. G. Psych. Rev. 88, 135–170 (1981).
    Article CAS Google Scholar
  20. Sutton, R. S. & Barto, A. G. in Learning and Computational Neuroscience (eds Gabriet, M. & Moore J. W.) 497–538 (MIT Press, Cambridge, MA. 1987).
    Google Scholar
  21. Sutton, R. S. Machine Learn. 3, 9–44 (1988).
    Google Scholar
  22. Barto, A. G. Sutton, R. S. & Watkins, C. J. C. H. Technical Report 89-95, (Computer and Information Science. University of Massachusetts. Amherst. MA. 1989).
  23. Rescorla, R. A. & Wagner, A. R. in Classical Conditioning II: Current Research and Theory (eds Black, A. H. & Prokasy, W. H.) 64–69 (Appleton-Century-Crofts, New York, 1972).
    Google Scholar
  24. Spudich, J. L. & Koshland, D. E. Proc. natn. Acad. Sci. U.S.A. 72, 710–713 (1975).
    Article ADS CAS Google Scholar
  25. Lockery, S. R. & Kristan, W. B. J. comp. Physiol. 168, 165–177 (1991).
    Article CAS Google Scholar
  26. Goldstein, R. S. & Camhi, J. M. J. comp. Physiol. 168, 103–112 (1991).
    Article CAS Google Scholar
  27. Harris-Warrick, R. M., Coniglio, L. M., Barazangi, N., Guckenheimer, J. & Gueron, S. J. Neurosci. 15, 342–358 (1995).
    Article CAS Google Scholar
  28. Hammer, M. & Menzel, R. Soc. Neurosci. Abstr. 20, 582 (1994).
    Google Scholar
  29. Schultz, W., Apicella, P. & Ljungberg, T. J. Neurosci. 13, 900–913 (1993).
    Article CAS Google Scholar
  30. Widrow, B. & Stearns, S. D. Adaptive Signal Processing (Prentice-Hall, Englewood Cliffs. 1985).
    MATH Google Scholar

Download references