Center for Mind and Brain, University of California, Davis, USA.
Cogn Process. 2024 Aug;25(Suppl 1):73-78. doi: 10.1007/s10339-024-01213-0. Epub 2024 Aug 10.
Visual working memory is a fundamental cognitive process that people use thousands of times each day as they engage in visually guided behavior. Thus, it is important to understand how the natural visual input-which consists of complex, spatially organized, continuously varying features-is represented in visual working memory. However, most research has used arrays of discrete, artificial objects defined by simple features, and existing formal models of visual working memory cannot be applied to natural scenes. In this paper, we identify 3 key aspects of natural scenes that are not captured by existing formal models of visual working memory, along with 2 distinct types of attention that must be considered. The goal is to clearly define the challenges and opportunities for moving models of visual working memory from arrays of artificial objects to natural scenes.
视觉工作记忆是一种基本的认知过程,人们在进行视觉引导的行为时每天都会使用数千次。因此,了解自然视觉输入(由复杂的、空间组织的、连续变化的特征组成)是如何在视觉工作记忆中表示的是很重要的。然而,大多数研究都使用了由简单特征定义的离散的、人为的物体阵列,现有的视觉工作记忆的形式模型不能应用于自然场景。在本文中,我们确定了自然场景中 3 个现有视觉工作记忆形式模型没有捕捉到的关键方面,以及必须考虑的 2 种不同类型的注意力。目标是明确界定将视觉工作记忆模型从人为物体的数组转移到自然场景的挑战和机遇。