Department of Psychology, University of Cambridge , Cambridge , United Kingdom.
Queensland Brain Institute, The University of Queensland , Brisbane, Queensland , Australia.
J Neurophysiol. 2019 May 1;121(5):1917-1923. doi: 10.1152/jn.00111.2019. Epub 2019 Mar 27.
Discerning objects from their surrounds (i.e., figure-ground segmentation) in a way that guides adaptive behaviors is a fundamental task of the brain. Neurophysiological work has revealed a class of cells in the macaque visual cortex that may be ideally suited to support this neural computation: border ownership cells (Zhou H, Friedman HS, von der Heydt R. 20: 6594-6611, 2000). These orientation-tuned cells appear to respond conditionally to the borders of objects. A behavioral correlate supporting the existence of these cells in humans was demonstrated with two-dimensional luminance-defined objects (von der Heydt R, Macuda T, Qiu FT. 22: 2222-2229, 2005). However, objects in our natural visual environments are often signaled by complex cues, such as motion and binocular disparity. Thus for border ownership systems to effectively support figure-ground segmentation and object depth ordering, they must have access to information from multiple depth cues with strict depth order selectivity. Here we measured in humans (of both sexes) border ownership-dependent tilt aftereffects after adaptation to figures defined by either motion parallax or binocular disparity. We find that both depth cues produce a tilt aftereffect that is selective for figure-ground depth order. Furthermore, we find that the effects of adaptation are transferable between cues, suggesting that these systems may combine depth cues to reduce uncertainty (Bülthoff HH, Mallot HA. 5: 1749-1758, 1988). These results suggest that border ownership mechanisms have strict depth order selectivity and access to multiple depth cues that are jointly encoded, providing compelling psychophysical support for their role in figure-ground segmentation in natural visual environments. Figure-ground segmentation is a critical function that may be supported by "border ownership" neural systems that conditionally respond to object borders. We measured border ownership-dependent tilt aftereffects to figures defined by motion parallax or binocular disparity and found aftereffects for both cues. These effects were transferable between cues but selective for figure-ground depth order, suggesting that the neural systems supporting figure-ground segmentation have strict depth order selectivity and access to multiple depth cues that are jointly encoded.
从周围环境中辨别物体(即图形-背景分割),以指导适应性行为,是大脑的一项基本任务。神经生理学研究揭示了一类在猕猴视觉皮层中可能非常适合支持这种神经计算的细胞:边界所有权细胞(Zhou H、Friedman HS、von der Heydt R. 20: 6594-6611, 2000)。这些方向调谐细胞似乎对物体的边界有条件地做出反应。二维亮度定义的物体的行为相关性支持了人类存在这些细胞(von der Heydt R、Macuda T、Qiu FT. 22: 2222-2229, 2005)。然而,我们自然视觉环境中的物体通常由复杂的线索来标记,例如运动和双目视差。因此,为了使边界所有权系统有效地支持图形-背景分割和物体深度排序,它们必须能够访问具有严格深度顺序选择性的多个深度线索的信息。在这里,我们在人类(男女)中测量了适应运动视差或双目视差定义的图形后的边界所有权依赖倾斜后效。我们发现,这两种深度线索都产生了选择性的图形-背景深度顺序的倾斜后效。此外,我们发现适应的效果可以在线索之间转移,这表明这些系统可能会结合深度线索来减少不确定性(Bülthoff HH、Mallot HA. 5: 1749-1758, 1988)。这些结果表明,边界所有权机制具有严格的深度顺序选择性,并可以访问联合编码的多个深度线索,为它们在自然视觉环境中的图形-背景分割提供了强有力的心理物理支持。图形-背景分割是一种关键功能,可能由“边界所有权”神经系统支持,该系统对物体边界有条件地做出反应。我们测量了由运动视差或双目视差定义的图形的边界所有权依赖倾斜后效,发现两种线索都有后效。这些效果在线索之间是可转移的,但选择性地针对图形-背景深度顺序,这表明支持图形-背景分割的神经系统具有严格的深度顺序选择性,并可以访问联合编码的多个深度线索。