Cavanagh Patrick, Caplovitz Gideon P, Lytchenko Taissa K, Maechler Marvin R, Tse Peter U, Sheinberg David L
Department of Psychology, Glendon College, 2275 Bayview Avenue, North York, ON, M4N 3M6, Canada.
CVR, York University, Toronto, ON, Canada.
Psychon Bull Rev. 2023 Oct;30(5):1643-1667. doi: 10.3758/s13423-023-02281-7. Epub 2023 Apr 20.
The allocation of attention to objects raises several intriguing questions: What are objects, how does attention access them, what anatomical regions are involved? Here, we review recent progress in the field to determine the mechanisms underlying object-based attention. First, findings from unconscious priming and cueing suggest that the preattentive targets of object-based attention can be fully developed object representations that have reached the level of identity. Next, the control of object-based attention appears to come from ventral visual areas specialized in object analysis that project downward to early visual areas. How feedback from object areas can accurately target the object's specific locations and features is unknown but recent work in autoencoding has made this plausible. Finally, we suggest that the three classic modes of attention may not be as independent as is commonly considered, and instead could all rely on object-based attention. Specifically, studies show that attention can be allocated to the separated members of a group-without affecting the space between them-matching the defining property of feature-based attention. At the same time, object-based attention directed to a single small item has the properties of space-based attention. We outline the architecture of object-based attention, the novel predictions it brings, and discuss how it works in parallel with other attention pathways.
什么是物体,注意力如何获取它们,涉及哪些解剖区域?在这里,我们回顾该领域的最新进展,以确定基于物体的注意力背后的机制。首先,无意识启动和线索提示的研究结果表明,基于物体的注意力的前注意目标可以是已经达到身份水平的充分发展的物体表征。其次,基于物体的注意力的控制似乎来自专门进行物体分析的腹侧视觉区域,这些区域向下投射到早期视觉区域。物体区域的反馈如何能够准确地定位物体的特定位置和特征尚不清楚,但最近自动编码方面的研究使其变得合理。最后,我们认为,三种经典的注意力模式可能并不像通常认为的那样相互独立,相反,它们都可能依赖于基于物体的注意力。具体而言,研究表明,注意力可以分配到一组中的各个分离成员上,而不会影响它们之间的空间,这与基于特征的注意力的定义属性相匹配。同时,指向单个小项目的基于物体的注意力具有基于空间的注意力的属性。我们概述了基于物体的注意力的架构、它带来的新预测,并讨论了它如何与其他注意力通路并行工作。