人类大脑中的场景感知。

IF 5 2区 医学 Q1 NEUROSCIENCES Annual Review of Vision Science Pub Date : 2019-09-15 Epub Date: 2019-06-21 DOI:10.1146/annurev-vision-091718-014809
Russell A Epstein, Chris I Baker
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引用次数: 136

摘要

人类非常擅长感知和理解复杂的现实世界场景。揭示这种能力的神经基础是视觉科学的一个重要目标。神经影像学研究已经确定了对场景有选择性反应的三个皮层区域:海马旁区、脾后复合体/内侧区和枕部区。在这里,我们回顾一下这些大脑区域的视觉和功能特性。场景选择区域表现出视网膜定位特性和对场景特征的低水平视觉特征的敏感性。它们还调解了布局、对象和表面属性的更高层次的表示,这些表示允许识别单个场景并确定其空间结构。未来的挑战包括开发场景区域信息处理的计算模型,研究这些区域如何在生态现实条件下支持场景感知,以及了解它们如何在更大的大脑网络背景下运作。
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Scene Perception in the Human Brain.

Humans are remarkably adept at perceiving and understanding complex real-world scenes. Uncovering the neural basis of this ability is an important goal of vision science. Neuroimaging studies have identified three cortical regions that respond selectively to scenes: parahippocampal place area, retrosplenial complex/medial place area, and occipital place area. Here, we review what is known about the visual and functional properties of these brain areas. Scene-selective regions exhibit retinotopic properties and sensitivity to low-level visual features that are characteristic of scenes. They also mediate higher-level representations of layout, objects, and surface properties that allow individual scenes to be recognized and their spatial structure ascertained. Challenges for the future include developing computational models of information processing in scene regions, investigating how these regions support scene perception under ecologically realistic conditions, and understanding how they operate in the context of larger brain networks.

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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
期刊介绍: The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.
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