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Cortical Coding of Surface Textures and Contour Shapes in the Intermediate-Level Visual Area V4

  • Conference paper
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Neural Information Processing (ICONIP 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1517))

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Abstract

Integration of multiple properties of an object is a fundamental function for object recognition. Surface texture and contour shape are thought to be crucial characteristics that contribute to the recognition. We investigated the cortical coding of surface and shape in monkey V4, with the focus on the integration of the two. To examine how V4 neurons code surface and shape; whether single neurons jointly code the two, or distinct groups of neurons independently code the two, we examined the activities of V4 neurons in response to natural image patches and their silhouette, wherein the former included both contour shape and surface properties, such as texture and color, but the latter included only contour shape. We analyzed the correlation between the spike counts responding to the natural and silhouette patches. The correlation coefficient across neurons was 0.56, suggesting partial joint-coding of surface and shape in V4. The modulation latency was 78 and 57 ms for the natural and silhouette patches. The dimension of the neural responses for the natural patches was approximately 30% greater than that for the silhouette patches. These results indicate more complicated computation and representation for the natural images compared to the silhouette images. These results suggest two sub-populations of neurons, one with joint-coding of surface and shape, and the other without.

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Acknowledgments

We appreciate Dr. Yukako Yamane with Okinawa Institute of Science and Technology for providing us the physiological data and discussions. This work was partially supported by Grant-in-aid from JSPS (KAKENHI 20H04487, 19H01111 A) and RIEC, Univ. Tohoku (H31/A12).

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Authors and Affiliations

  1. Department of Computer Science, University of Tsukuba, Ibaraki, 305-8573, Japan

    Itsuki Machida, Atsushi Kodama, Kouji Kimura, Motofumi Shishikura & Ko Sakai

  2. Graduate School of Frontiers Biosciences, Osaka University, Osaka, Japan

    Hiroshi Tamura

  3. Center for Information and Neural Networks, Osaka, Japan

    Hiroshi Tamura

Authors
  1. Itsuki Machida
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  2. Atsushi Kodama
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  3. Kouji Kimura
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  4. Motofumi Shishikura
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  5. Hiroshi Tamura
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  6. Ko Sakai
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Corresponding author

Correspondence to Ko Sakai .

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Editors and Affiliations

  1. Sampoerna University, Jakarta, Indonesia

    Teddy Mantoro

  2. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  3. Sampoerna University, Jakarta, Indonesia

    Media Anugerah Ayu

  4. Murdoch University, Murdoch, WA, Australia

    Kok Wai Wong

  5. Universitas Indonesia, Depok, Indonesia

    Achmad Nizar Hidayanto

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Machida, I., Kodama, A., Kimura, K., Shishikura, M., Tamura, H., Sakai, K. (2021). Cortical Coding of Surface Textures and Contour Shapes in the Intermediate-Level Visual Area V4. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science, vol 1517. Springer, Cham. https://doi.org/10.1007/978-3-030-92310-5_5

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  • DOI: https://doi.org/10.1007/978-3-030-92310-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92309-9

  • Online ISBN: 978-3-030-92310-5

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