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Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking

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Neural Information Processing (ICONIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5863))

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Abstract

A normally visible stimulus can be rendered invisible by some psychophysical techniques. Flash suppression and forward masking are two such techniques. In this study, we investigated the selectivity of suppression in flash suppression and forward masking. Observers were asked to discriminate the orientation or color of the test grating that was at the orientation-discrimination threshold. We found that during flash suppression color sensitivity was more suppressed than orientation sensitivity. Forward masking produced a pattern of results similar to flash suppression. These results suggest that the flash suppression and forward masking share partly a common mechanism.

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Authors and Affiliations

  1. Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259-G3-46 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, 226-8502, Japan

    Kenji Aoki, Hiroki Takahashi, Hideaki Itoh & Kiyohiko Nakamura

Authors
  1. Kenji Aoki
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  2. Hiroki Takahashi
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  3. Hideaki Itoh
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  4. Kiyohiko Nakamura
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, Hong Kong,  

    Chi Sing Leung

  2. School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, 702-701, Taegu, Korea

    Minho Lee

  3. School of Information Technology, King Mongkut’s University of Technology Thonburi, 126 Pracha-U-Thit Rd., Bangmod, Thungkru, 10140, Bangkok, Thailand

    Jonathan H. Chan

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© 2009 Springer-Verlag Berlin Heidelberg

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Aoki, K., Takahashi, H., Itoh, H., Nakamura, K. (2009). Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10677-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-10677-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10676-7

  • Online ISBN: 978-3-642-10677-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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