Surrounding Suppression and Facilitation in the Determination of Border Ownership

Surrounding Suppression and Facilitation in the Determination of Border Ownership
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DOI:
10.1162/jocn.2006.18.4.562
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发表时间:
2006-04
影响因子:
3.2
通讯作者:
K. Sakai;Haruka Nishimura
K. Sakai;Haruka Nishimura
中科院分区:
医学3区
文献类型:
--
作者:
K. Sakai;Haruka Nishimura

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背景调制报告在早期到中级视觉领域可能是一个重要的组成部分,以信号边界所有权(BO),指定的方向,图沿着轮廓。引起显著抑制或易化的周围区域相对于经典感受野(CRF)的中心是高度局部化和不对称的。我们提出了一个假设,这种周围的调制是BO选择性的基础。虽然这个想法已经讨论了好几年,但我们不确定在众多的周边组织中,有多少组织能够正确地发出所有权方向的信号,有多少组织能够在各种刺激下发出一致的信号。我们通过计算对周围效应进行了群体研究,以调查有多少细胞表现出有效且一致的BO信号。我们测试了数百个不同的组织,发现大多数不对称的等取向抑制区域,无论位置或大小,都会导致各种刺激的所有权方向惊人的高度一致性。等取向抑制和交叉取向促进的组合表明所有权确定中的高鲁棒性和一致性。我们构建了一个BO选择性神经元模型的基础上的周围环境的影响,并调查该模型是否再现的主要特征的神经元的反应,包括各种BO选择性神经元之间,一致性相对于各种刺激,刺激大小的不变性,和共选择性BO和对比度。该模型成功地再现了BO选择性神经元的主要特征。
Contextual modulation reported in early- to intermediate-level visual areas could be an essential component to signal border ownership (BO) that specifies the direction of figure along a contour. The surrounding regions that evoke significant suppression or facilitation are highly localized and asymmetric with respect to the center of the classical receptive field (CRF). We propose a hypothesis that such surrounding modulation is a basis for BO-selectivity. Although this idea has been discussed for several years, it is uncertain how many of a vast variety of surrounding organizations could signal correctly the direction of ownership, and how many could signal consistently for various stimuli. We carried out computationally a population study of the surrounding effects to investigate how many cells exhibit effective and consistent BO signals. We tested hundreds of various organizations, and found that most of the asymmetric, iso-orientation suppressive regions, regardless of position or size, lead to surprisingly high consistency in the direction of ownership for various stimuli. The combinations of iso-orientation suppression and cross-orientation facilitation indicate both high robustness and consistency in the ownership determination. We constructed a model for BO-selective neurons based on the surrounding effects, and investigated whether the model reproduces major characteristics of the neuronal responses, including a variety in the BO selectivity among neurons, consistency with respect to various stimuli, invariance to stimulus size, and co-selectivity to BO and contrast. The model reproduced successfully the major characteristics of BO-selective neurons.