Fine-scale object representation in human visual cortex

人类视觉皮层中的精细物体表示

• 批准号: 6942319
• 负责人: RORY A SAYRES
• 金额: $ 3.19万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-22 至 2006-09-21
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6942319
• 关键词: behavior test; clinical research; evoked potentials; functional magnetic resonance imaging; human subject; imagery; neural information processing; predoctoral investigator; psychophysics; stimulus /response; visual cortex; visual perception; visual stimulus

DESCRIPTION (provided by applicant): We propose to examine responses of human high-level visual cortex to individual images and image features, using new high-resolution functional MRI (fMRI) imaging methods. Our goal is to identify data driven categories of images and image features that optimally activate sub-regions of cortex. This will reveal the functional organization of higher-level cotex on a fine scale, and inform how these regions represent objects. This in turn will provide critical constraints on theories of object recognition, and have relevance to the wider issue of how the brain represents the external world. We will approach this in two Specific Aims. First, we will conduct an event-related fMRI study to examine neural responses to individual object images at high resolution. We will analyze whether the optimal images to activate a given region naturally group by category. Second, we will perform psychophysics in which only parts of these images are revealed, and calculate the relative informativeness of each location on the image to identify candidate image features. We will then conduct fMRI experiments to examine whether parts of the response to an individual image correspond to the presence of a particular image feature.

描述（由申请人提供）：我们建议使用新的高分辨率功能性核磁共振成像（fMRI）成像方法来研究人类高级视觉皮层对单个图像和图像特征的反应。我们的目标是识别数据驱动的图像类别和图像特征，以最佳方式激活皮层的子区域。这将在精细尺度上揭示高级皮层的功能组织，并告知这些区域如何表示物体。反过来，这将为物体识别理论提供关键的约束，并与大脑如何表征外部世界的更广泛问题相关。