Abstract
The determination of Border-Ownership (BO) that defines the direction of figure along contour is a crucial step toward figure-ground segregation. Recent physiological and computational studies have reported that neurons in V2/V4 are selective to BO [1], and that surround modulation underlies the selectivity [2, 3]. Accurate determination of BO along complex contours in natural images appears difficult for a single BO-selective cell, leading to the hypothesis that multiple cells work simultaneously for BO perception. We studied computationally how many BO cells and what characteristics of the surround modulation are required to achieve accurate determination of BO in natural images. The results indicated that 10 model BO-cells achieve 82% correct while single model cells yield 65%. The results suggest that grouping a small number of BO-selective cells increases effectively the capability for the determination of BO.
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References
Zhou, H., Friedman, H.S., Heydt, R.: Coding of Border Ownership in Monkey Visual Cortex. J. Neurosci. 20, 6594–6611 (2000)
Sakai, K., Nishimura, H.: Surrounding Suppression and Facilitation in the Determination of Border Ownership. J. Cognitive Neurosci. 18, 562–579 (2006)
Zhang, N.R., Heydt, R.: Analysis of the context integration mechanisms underlying figure-ground organization in the visual cortex. J. Neurosci. 30, 6482–6496 (2010)
Sakai, K., Nishimura, H., Shimizu, R., Kondo, K.: Consistent and Robust Determination of Border-Ownership Based on Asymmetric Surrounding Contrast. Neural Networks 33, 257–274 (2012)
Jones, H.E., Grieve, K.L., Wang, W., Sillito, A.M.: Surround Suppression in V1. J. Neurophysiol. 86(4), 2011–2028 (2001)
Jones, H.E., Wang, W., Sillito, A.M.: Spatial Organization and Magnitude of Orientation Contrast Interactions in Primate V1. J. Neurophysiol. 88, 2796–2808 (2002)
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A dataset of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Procs. ICCV, vol. 2, pp. 416–423 (2001)
Chang, C.C., Lin, C.J.: LIBSVM-A Library for Support Vector Machine., http://www.csie.ntu.edu.tw/~cjlin/libsvm/
Fowlkes, C.C., Martin, D.R., Malik, J.: Local figure-ground cues are valid for natural images. J.Vision 7(8), 2, 1–9 (2007)
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© 2012 Springer-Verlag Berlin Heidelberg
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Nakata, Y., Sakai, K. (2012). Structures of Surround Modulation for the Border-Ownership Selectivity of V2 Cells. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34475-6_46
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DOI: https://doi.org/10.1007/978-3-642-34475-6_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34474-9
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