November 2002
Volume 2, Issue 7
Free
Vision Sciences Society Annual Meeting Abstract  |   November 2002
As good as it gets — testing a bayesian model of transsaccadic change blindness
Author Affiliations
  • Matthias Niemeier
    University of Toronto, Canada
  • J. Douglas Crawford
    York U., Canada
  • Douglas B. Tweed
    University of Toronto, Canada
Journal of Vision November 2002, Vol.2, 499. doi:10.1167/2.7.499
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      Matthias Niemeier, J. Douglas Crawford, Douglas B. Tweed; As good as it gets — testing a bayesian model of transsaccadic change blindness. Journal of Vision 2002;2(7):499. doi: 10.1167/2.7.499.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

During fast or saccadic eye movements human perception of stimulus shifts is poor. This phenomenon is called “transsaccadic change blindness for displacement”. Employing neural network simulations, we have recently shown that even if the brain optimally used all signals available for shift perception it would exhibit change blindness. This concept predicts that the accuracy of the nonvisual eye position signal should inversely influence change blindness. To test our hypothesis, we asked seven subjects to perform horizontal and vertical saccades toward target stimuli that shifted either parallel or orthogonal during the saccade. As will be presented at the meeting, our results conformed the predictions of the model. This corroborates the view that change blindness reflects a mechanism of Bayesian inference from the noisy signals available in the brain and from the probabilities of the events underlying these signals.

Niemeier, M., Crawford, J. D., Tweed, D. B.(2002). As good as it gets — testing a bayesian model of transsaccadic change blindness [Abstract]. Journal of Vision, 2( 7): 499, 499a, http://journalofvision.org/2/7/499/, doi:10.1167/2.7.499. [CrossRef]
Footnotes
 Supported by CIHR.
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