Representing object ensembles in the human brain: Where, when and what

代表人脑中的对象集合：地点、时间和内容

• 批准号: 8515427
• 负责人: YAODA XU
• 金额: $ 40.14万
• 依托单位: HARVARD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8515427
• 关键词: Algorithms; Anterior; Attention; Behavioral; Brain; Brain Injuries; Brain region; Cognitive; Complement; Computers; Crowding; Functional Magnetic Resonance Imaging; Human; Learning; Medial; Nature; Neurosciences Research; Occipital lobe; Parahippocampal Gyrus; Parietal Lobe; Perception; Pilot Projects; Process; Publishing; Research; Research Personnel; Role; Shapes; Surface; Techniques; Texture; Thinking; Vision; Visual; Visual Cortex; Visual attention; Visual system structure; brain behavior; cognitive neuroscience; collateral sulcus; extrastriate visual cortex; interest; neuromechanism; object perception; object recognition; public health relevance; relating to nervous system; retinotopic; statistics; theories; visual cognition; visual object processing

DESCRIPTION (provided by applicant): Our visual world is filled with clusters (or ensembles) of objects. For many visual tasks, such as attending and selecting specific objects for thoughts or actions, we need to individuate and encode distinctive features from single objects. Such object-specific processing has been the core of cognitive and neuroscientific research for the past few decades. In contrast, there are also ample occasions when our visual system extracts summary statistics from an object ensemble without representing each object in the ensemble in great detail. Such object-ensemble representation can help us rapidly segment an otherwise crowded visual scene and allow us to zoom in on specific objects of interest. Object-ensemble representation thus complements and guides object- specific processing and allows our visual system to overcome the capacity limitation of object-specific processing. Yet despite the common occurrence of object ensembles in our visual world, the cognitive and neural mechanisms underlying object-ensemble processing remains poorly understood. Using fMRI, this proposal will first identify where in the human brain object ensembles are represented, under what attentional condition this representation can be formed, and then examine the nature of the neural object ensemble representation by studying how mean and variance of ensemble features are represented. The proposed studies will be one of the first to systematically investigate how real world object ensembles are processed in the human brain. Besides furthering our understanding of the connection between brain and behavior, results of these studies will have significant impact on current cognitive and neural theories on visual object perception.

描述（由申请人提供）：我们的视觉世界充满了物体的集群（或集合）。对于许多视觉任务，例如注意和选择特定对象进行思考或行动，我们需要个性化和编码单个对象的独特特征。在过去的几十年里，这种特定对象的处理一直是认知和神经科学研究的核心。相比之下，也有很多情况下，我们的视觉系统从对象集合中提取汇总统计数据，而没有非常详细地表示集合中的每个对象。这种对象集成表示可以帮助我们快速分割拥挤的视觉场景，并允许我们放大感兴趣的特定对象。因此，对象集合表征补充并指导特定对象处理，并允许我们的视觉系统克服特定对象处理的容量限制。然而，尽管在我们的视觉世界中经常出现的对象集合，对象集合处理的认知和神经机制仍然知之甚少。使用功能磁共振成像，这个建议将首先确定在人类大脑中的对象集合表示，在什么注意条件下，这种表示可以形成，然后通过研究如何表示集合特征的均值和方差来检查神经对象集合表示的性质。拟议中的研究将是第一批系统地研究人类大脑如何处理真实的世界物体集合的研究之一。这些研究结果不仅加深了我们对大脑和行为之间联系的理解，而且对当前视觉物体知觉的认知和神经理论也将产生重大影响。