Il Nuovo Cimento D

, Volume 17, Issue 7–8, pp 941–947 | Cite as

Non-linearity of the interactions between bottom-up and top-down signals in multistable visual perception

  • C. Taddei-Ferretti
  • C. Musio
  • S. Santillo
Article

Summary

Both bottom-up sensory information and top-down influences contribute to the perception processes. We studied the perceptual alternations of a multistable ambiguous pattern. We observed that it is possible to interfere on the process of the perception alternance by means of subliminal visual stimuli, which either contrast or second the previous perception. We investigated also the effect of the top-down volitional factor on the perceptual alternation. By using a combination of such top-down factor and bottom-up stimulation, we ascertained that a non-linear type of interaction occurs between the two above factors.

PACS 42.66.Lc

Physiological optics: vision 

PACS 87.10

General, theoretical, and mathematical biophysics (including logic of biosystems, quantum biology, and relevant aspects of thermodynamics, information theory, cybernetics, and bionics) 

PACS 01.30.Cc

Conference proceedings 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Borsellino A., De Marco B., Allazetta A., Rinesi S. andBartolini S.,Kybernetik,10 (1972) 139.CrossRefGoogle Scholar
  2. [2]
    Caglioti G. andCaianiello E. R.,Biol. Cybern.,31 (1978) 205.CrossRefGoogle Scholar
  3. [3]
    Ditzinger T. andHaken H.,Biol. Cybern.,61 (1989) 279.MathSciNetCrossRefGoogle Scholar
  4. [4]
    Kawamoto A. H. andAnderson J. A.,Acta Psychol.,59 (1985) 35.CrossRefGoogle Scholar
  5. [5]
    Poston T. andStewart I.,Behav. Sci.,23 (1978) 318.MathSciNetGoogle Scholar
  6. [6]
    Radilová J. andPöppel E.,Acta Neurobiol. Exp.,50 (1990) 37.Google Scholar
  7. [7]
    Radilová J. andRadil-Weiss T.,Int. J. Psychophysiol.,2 (1984) 59.CrossRefGoogle Scholar
  8. [8]
    Riani M., Masulli F. andSimonotto E.,SPIE Application of Artificial Neural Networks II,1469 (1991) 166.ADSGoogle Scholar
  9. [9]
    Riani M., Oliva G. A., Selis G., Ciurlo G. andRossi P.,Percept. Mot. Skills,58 (1984) 267.CrossRefGoogle Scholar
  10. [10]
    Riani M., Tuccio M. T., Borsellino A., Radilová J. andRadil T.,Percept. Mot. Skills,63 (1986) 191.Google Scholar
  11. [11]
    Horlitz K. L. andO'Leary A.,Percept. Psychophys.,53 (1993) 668.Google Scholar
  12. [12]
    Liebert R. M. andBurk B.,Percept. Mot. Skills,61 (1985) 1307.Google Scholar
  13. [13]
    Watson G. (Editor),Free Will (Oxford University Press, New York) 1982.Google Scholar
  14. [14]
    Colucci R., Cotugno A., Martino M., Musio C. andTaddei-Ferretti C.,Neurosci. Lett.,43 (1992) S28.Google Scholar
  15. [15]
    Taddei-Ferretti C., Musio C., Colucci R. F. andMartino M.,Proceedings of WCNN, INNS Ann. Meet., Vol. II (LEA, Hillsdale, N.J.) 1993, p. 155.Google Scholar
  16. [16]
    Taddei-Ferretti C., Musio C. andColucci R. F.,ICANN '94, Proceedings of the International Conference on Artificial Neural Networks, Vol. 1 (Springer, London, Berlin, Heidelberg) 1994, p. 30.Google Scholar
  17. [17]
    Colucci R., Musio C. andTaddei-Ferretti C.,Int. J. Bio-Medical Computing,37 (1994) 29.CrossRefGoogle Scholar

Copyright information

© Società Italiana di Fisica 1995

Authors and Affiliations

  • C. Taddei-Ferretti
    • 1
  • C. Musio
    • 1
  • S. Santillo
    • 1
  1. 1.Istituto di CiberneticaCNRArco Felice (NA)Italy

Personalised recommendations