Skip to main content
Log in

A test of multiple correlation temporal window characteristic of non-Markov processes

  • Regular Article
  • Published:
The European Physical Journal Plus Aims and scope Submit manuscript

Abstract.

We introduce a sensitive test of memory effects in successive events. The test consists of a combination K of binary correlations at successive times. K decays monotonically from K = 1 for uncorrelated events as a Markov process. For a monotonic memory fading, \( K<1\) always. Here we report evidence of a \( K>1\) temporal window in cognitive tasks consisting of the visual identification of the front face of the Necker cube after a previous presentation of the same. We speculate that memory effects provide a temporal window with \( K>1\) and this experiment could be a possible first step towards a better comprehension of this phenomenon. The \( K>1\) behaviour is maximal at an inter-measurement time \( \tau\) around 2s with inter-subject differences. The \( K>1\) persists over a time window of 1s around \( \tau\); outside this window the \(K<1\) behaviour is recovered. The universal occurrence of a \( K>1\) window in pairs of successive perceptions suggests that, at variance with single visual stimuli eliciting a suitable response, a pair of stimuli shortly separated in time displays mutual correlations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Gerald M. Long, Thomas C. Toppino, Psychol. Bull. 130, 748 (2004)

    Article  Google Scholar 

  2. L.A. Necker, London Edinburgh Philos. Mag. J. Sci. 1, 329 (1832)

    Google Scholar 

  3. A.J. Leggett, A. Garg, Phys. Rev. Lett. 54, 857 (1985)

    Article  ADS  MathSciNet  Google Scholar 

  4. Clive Emary, Neill Lambert, Franco Nori, Rep. Prog. Phys. 77, 016001 (2014)

    Article  ADS  Google Scholar 

  5. D.H. Brainard, Spat. Vis. 10, 433 (1997)

    Article  Google Scholar 

  6. D.G. Pelli, Spat. Vis. 10, 437 (1997)

    Article  Google Scholar 

  7. M. Kleiner, D. Brainard, D. Pelli, A. Ingling, R. Murray, C. Broussard, Perception 36, 1 (2007)

    Article  Google Scholar 

  8. Ming Meng, Frank Tong, J. Vis. 4, 2 (2004)

    Article  Google Scholar 

  9. David A. Leopold, Melanie Wilke, Alexander Maier, Nikos K. Logothetis, Nat. Neurosci. 5, 605 (2002)

    Article  Google Scholar 

  10. Joel Pearson, Jan Brascamp, Trends Cogn. Sci. 12, 334 (2008)

    Article  Google Scholar 

  11. J.W. Brascamp, J. Pearson, R. Blake, A.V. Van Den Berg, J. Vis. 9, 3 (2009)

    Article  Google Scholar 

  12. Naoki Kogo, Lore Hermans, David Stuer, Raymond van Ee, Johan Wagemans, Vis. Res. 106, 7 (2015)

    Article  Google Scholar 

  13. P. Neri, M.C. Morrone, D.C. Burr, Nature 395, 894 (1998)

    Article  ADS  Google Scholar 

  14. G. Wyszecki, W.S. Stiles, Color science (John Wiley & Sons, New York, 1982)

  15. R. Arrighi, F.T. Arecchi, A. Farini, C. Gheri, Cogn. Proc. 10, S95 (2009)

    Article  Google Scholar 

  16. A. Borsellino, A. Marco, A. Allazetta, S. Rinesi, B. Bartolini, Biol. Cybern. 10, 139 (1972)

    Google Scholar 

  17. D.A. Leopold, N.K. Logothetis, Trends Cogn. Sci. 3, 254 (1999)

    Article  Google Scholar 

  18. H. Atmanspacher, T. Filk, H. Römer, Biol. Cybern. 90, 33 (2004)

    Article  Google Scholar 

  19. E. Pöppel, Trends Cogn. Sci. 1, 56 (1997)

    Article  Google Scholar 

  20. C. Koch, The quest for consciousness: A neuroscientific approach (Roberts & Co, 2004)

  21. Jason Fischer, David Whitney, Nat. Neurosci. 17, 738 (2014)

    Article  Google Scholar 

  22. Guido Marco Cicchini, Giovanni Anobile, David C. Burr, Proc. Natl. Acad. Sci. U.S.A. 111, 7867 (2014)

    Article  ADS  Google Scholar 

  23. Guido Gigante, Maurizio Mattia, Jochen Braun, Paolo Del Giudice, PLoS Comput. Biol. 5, e1000430 (2009)

    Article  ADS  Google Scholar 

  24. F.T. Arecchi, Eur. Phys. J. ST 146, 205 (2007)

    Article  Google Scholar 

  25. T.L. Griffiths, C. Kemp, J.B. Tenenbaum, Bayesian models of cognition, in Cambridge handbook of computational cognitive modeling (Cambridge University Press, 2008) pp. 59--100

  26. J.P. Lachaux, E. Rodriguez, J. Martinerie, F.J. Varela et al., Hum. Brain Mapp. 8, 194 (1999)

    Article  Google Scholar 

  27. F.T. Arecchi, J. Psychophysiol. 24, 141 (2010)

    Article  Google Scholar 

  28. Eugenio Rodriguez, Nathalie George, Jean-Philippe Lachaux, Jacques Martinerie, Bernard Renault, Francisco J. Varela, Nature 397, 430 (1999)

    Article  ADS  Google Scholar 

  29. K.P. Körding, D.M. Wolpert, Trends Cogn. Sci. 10, 319 (2006)

    Article  Google Scholar 

  30. E. Poppel, Acta Neurobiol. Exp. 64, 295 (2004)

    Google Scholar 

  31. F.T. Arecchi, Nonlinear Dyn. Psychol. Life Sci. 15, 359 (2011)

    Google Scholar 

  32. S. Dehaene, C. Sergent, J.P. Changeux, Proc. Natl. Acad. Sci. U.S.A. 100, 8520 (2003)

    Article  ADS  Google Scholar 

  33. E. Pöppel, Philos. Trans. R. Soc. B: Biol. Sci. 364, 1887 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Farini.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arecchi, F.T., Farini, A. & Megna, N. A test of multiple correlation temporal window characteristic of non-Markov processes. Eur. Phys. J. Plus 131, 50 (2016). https://doi.org/10.1140/epjp/i2016-16050-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1140/epjp/i2016-16050-6

Keywords

Navigation