IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0092894.html
   My bibliography  Save this article

Motion-Induced Blindness and Troxler Fading: Common and Different Mechanisms

Author

Listed:
  • Yoram S Bonneh
  • Tobias H Donner
  • Alexander Cooperman
  • David J Heeger
  • Dov Sagi

Abstract

Extended stabilization of gaze leads to disappearance of dim visual targets presented peripherally. This phenomenon, known as Troxler fading, is thought to result from neuronal adaptation. Intense targets also disappear intermittently when surrounded by a moving pattern (the “mask”), a phenomenon known as motion-induced blindness (MIB). The similar phenomenology and dynamics of these disappearances may suggest that also MIB is, likewise, solely due to adaptation, which may be amplified by the presence of the mask. Here we directly compared the dependence of both phenomena on target contrast. Observers reported the disappearance and reappearance of a target of varying intensity (contrast levels: 8%–80%). MIB was induced by adding a mask that moved at one of various different speeds. The results revealed a lawful effect of contrast in both MIB and Troxler fading, but with opposite trends. Increasing target contrast increased (doubled) the rate of disappearance events for MIB, but decreased the disappearance rate to half in Troxler fading. The target mean invisible period decreased equally strongly with target contrast in MIB and in Troxler fading. The results suggest that both MIB and Troxler are equally affected by contrast adaptation, but that the rate of MIB is governed by an additional mechanism, possibly involving antagonistic processes between neuronal populations processing target and mask. Our results link MIB to other bi-stable visual phenomena that involve neuronal competition (such as binocular rivalry), which exhibit an analogous dependency on the strength of the competing stimulus components.

Suggested Citation

  • Yoram S Bonneh & Tobias H Donner & Alexander Cooperman & David J Heeger & Dov Sagi, 2014. "Motion-Induced Blindness and Troxler Fading: Common and Different Mechanisms," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
  • Handle: RePEc:plo:pone00:0092894
    DOI: 10.1371/journal.pone.0092894
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0092894
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0092894&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0092894?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Guido Gigante & Maurizio Mattia & Jochen Braun & Paolo Del Giudice, 2009. "Bistable Perception Modeled as Competing Stochastic Integrations at Two Levels," PLOS Computational Biology, Public Library of Science, vol. 5(7), pages 1-9, July.
    2. Yoram S. Bonneh & Alexander Cooperman & Dov Sagi, 2001. "Motion-induced blindness in normal observers," Nature, Nature, vol. 411(6839), pages 798-801, June.
    3. Uri Polat & Keiko Mizobe & Mark W. Pettet & Takuji Kasamatsu & Anthony M. Norcia, 1998. "Collinear stimuli regulate visual responses depending on cell's contrast threshold," Nature, Nature, vol. 391(6667), pages 580-584, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dina Devyatko & Alexander Pastukhov, 2018. "Extrinsic grouping factors in motion-induced blindness," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Zhaoping & Li Zhe, 2015. "Primary Visual Cortex as a Saliency Map: A Parameter-Free Prediction and Its Test by Behavioral Data," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-39, October.
    2. Ruben Coen-Cagli & Peter Dayan & Odelia Schwartz, 2012. "Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-18, March.
    3. Sophie Hall & Patrick Bourke & Kun Guo, 2014. "Low Level Constraints on Dynamic Contour Path Integration," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    4. Li Zhaoping & Li Jingling, 2008. "Filling-In and Suppression of Visual Perception from Context: A Bayesian Account of Perceptual Biases by Contextual Influences," PLOS Computational Biology, Public Library of Science, vol. 4(2), pages 1-13, February.
    5. Udo A Ernst & Sunita Mandon & Nadja Schinkel–Bielefeld & Simon D Neitzel & Andreas K Kreiter & Klaus R Pawelzik, 2012. "Optimality of Human Contour Integration," PLOS Computational Biology, Public Library of Science, vol. 8(5), pages 1-17, May.
    6. Johanna Bergmann & Lucy S. Petro & Clement Abbatecola & Min S. Li & A. Tyler Morgan & Lars Muckli, 2024. "Cortical depth profiles in primary visual cortex for illusory and imaginary experiences," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Xaq Pitkow & Haim Sompolinsky & Markus Meister, 2007. "A Neural Computation for Visual Acuity in the Presence of Eye Movements," PLOS Biology, Public Library of Science, vol. 5(12), pages 1-14, December.
    8. Dina Devyatko & Alexander Pastukhov, 2018. "Extrinsic grouping factors in motion-induced blindness," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.
    9. Runnova, Anastasiya E. & Hramov, Alexander E. & Grubov, Vadim V. & Koronovskii, Alexey A. & Kurovskaya, Maria K. & Pisarchik, Alexander N., 2016. "Theoretical background and experimental measurements of human brain noise intensity in perception of ambiguous images," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 201-206.
    10. Malte Persike & Günter Meinhardt, 2015. "Effects of Spatial Frequency Similarity and Dissimilarity on Contour Integration," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-19, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0092894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.