Population analysis of shape representation in V4

V4 中形状表示的总体分析

• 批准号: 7232722
• 负责人: THOMAS P NASELARIS
• 金额: $ 4.88万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-16 至 2009-09-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7232722
• 关键词: Affect; Animals; Area; Attention; Behavior; Brain; Brain region; Cells; Classification; Code; Complex; Condition; Data; Devices; Dimensions; Discrimination; Electrodes; Environment; Evaluation; Goals; Image; Imagery; Laboratories; Lead; Location; Machine Learning; Mediating; Modeling; Neurons; Perception; Performance; Population; Population Analysis; Positioning Attribute; Procedures; Property; Quality of life; Sampling; Shapes; Simulate; Stimulus; Stream; Structure; System; Techniques; Testing; Training; V4 neuron; Visual; Visual Agnosias; Visual system structure; Work; area V4; base; extrastriate visual cortex; neurophysiology; receptive field; relating to nervous system; response; success; visual search; visual stimulus

DESCRIPTION (provided by applicant): The perception of shape is essential for object identification and visually guided action. The neural represenation of shape is mediated by a hierarchical system of brain areas known collectively as the ventral stream. Damage to ventral stream areas may lead to visual agnosias that can severely compromise quality of life. It is therefore important to achieve an understanding of how shape representation is generated. We will examine the neural representation of shape in V4, a brain region that is situated at an intermediate level on the ventral stream hierarchy. Our stategy will be to construct quantitative models of the relationship between neurophysiological activity and visual input at both the single cell and population levels. Our approach to constructing these models will be distinguished by the use of advanced non-linear statistical techniques, complex visual stimuli that simulates natural viewing conditions, and the use of multi-electrode arrays to record populations of neurons simultaneously. Interpretation and analysis of these models will allow us adress two specific questions: 1) what are the independent stimulus dimensions to which V4 neurons are tuned?; 2) how is the distributed activity of V4 cell populations combined to represent shape?

描述（由申请人提供）：形状的感知对于物体识别和视觉引导行动至关重要。形状的神经表征是由统称为腹侧流的大脑区域的分层系统介导的。腹侧流区的损伤可能导致视觉失认，严重影响生活质量。因此，重要的是要实现的形状表示是如何产生的理解。我们将研究V4中形状的神经表征，V4是位于腹侧流层次结构中间水平的大脑区域。我们的策略是在单细胞水平和群体水平上构建神经生理活动与视觉输入之间关系的定量模型。我们构建这些模型的方法将通过使用先进的非线性统计技术，模拟自然观看条件的复杂视觉刺激，以及使用多电极阵列同时记录神经元群体来区分。对这些模型的解释和分析将使我们能够解决两个具体的问题：1）V4神经元调谐的独立刺激维度是什么？2)V4细胞群的分布活动如何结合起来代表形状？