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International Symposium on Neural Networks

ISNN 2016: Advances in Neural Networks – ISNN 2016 pp 706–711Cite as

The Peculiarities of Perceptual Set in Sensorimotor Illusions

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9719)

Abstract

The effects of perceptual set in sensorimotor domain were studied with the help of Müller-Lyer and Ponzo illusions. The results lead us to conclude that the strengths of Ponzo and Müller-Lyer illusions are influenced by distinct characteristics of visual processing at different levels of visual system. The results of the experiments also demonstrate the existence of illusory perceptual sets in the sensorimotor domain. The type of the illusory perceptual set was found to depend on hemispheric-specific mental representations, which are activated by the movements of the right and the left hand.

Keywords

  • Müller-Lyer
  • Ponzo
  • Perceptual set
  • Left and right hand

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Acknowledgements

Financial support: Russian Humanitarian Scientific Fund 16-36-01008.

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Authors and Affiliations

  1. St. Petersburg State University, St. Petersburg, Russia

    Valeria Karpinskaia & Viktor Allakhverdov

  2. RAS Institute of Physiology, St. Petersburg, Russia

    Vsevolod Lyakhovetskii

  3. Samara State Aerospace University, Samara, Russia

    Yuri Shilov

Authors
  1. Valeria Karpinskaia
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  2. Vsevolod Lyakhovetskii
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  3. Viktor Allakhverdov
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  4. Yuri Shilov
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Corresponding author

Correspondence to Valeria Karpinskaia .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Karpinskaia, V., Lyakhovetskii, V., Allakhverdov, V., Shilov, Y. (2016). The Peculiarities of Perceptual Set in Sensorimotor Illusions. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_81

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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