Representation of Visual information in striate cortex

纹状皮层视觉信息的表示

• 批准号: 6602019
• 负责人: ALFRED B BONDS
• 金额: $ 18.88万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6602019
• 关键词: behavioral /social science research tag; cats; electrodes; electroencephalography; functional magnetic resonance imaging; neural information processing; sensory discrimination; sensory receptors; single cell analysis; visual cortex; visual perception

DESCRIPTION (provided by applicant): The classical model of the visual cortex is that it is made up a set quasi-linear, independent spatial of a set of filters. The feature discrimination of individual cells is however quite broad and does not match the fine performance of visual behavior. There currently exists little hard evidence linking the synthesis of what we perceive with the fairly coarse selectivity of visual cortical cells. Because of the extremely high connectivity within A17, we believe that the neural "code" cannot be adequately expressed by the analysis of isolated responses from single cells. One linking hypothesis is that visual structures is related by linking cells together dynamically in functional groups, and one historic theory is that the groups are defined by synchronous activity. This proposal is a direct exploration of these ideas. We will record simultaneously from large numbers of individual cells in primary visual cortex (A17) of the cat using 25 and 100 electrode arrays. We will stimulate the cells with patterns designed to recruit grouped activity and to show how groups change as patterns change. We will conduct these experiments for cells in both supra-granular and sub-granular layers, since lateral connectivity patterns differ between these regions. We will analyze the cell responses for synchrony using gravitational clustering and type analysis, which shows how cooperativity between cells may change over time and space. We will display dependency between neurons as a function of time and explore the relationship between trial-by-trial spike trains. Thus far we have found that cells as far separated as 1.5 mm can synchronize under certain stimulus conditions, and that the membership within synchronous groupings can change as stimuli change. We will extend these results from responses to simple stimuli to more complex multiple stimuli to explore the physiological basis for visual phenomena such as transparency and figure-ground discrimination. Our global goal is to provide a basis for how visual information is represented in the context of ensemble, as opposed to individual cell, activity. This is an important step towards understanding how the brain processes sensory information, and will contribute to our knowledge of brain pathologies as well as provide a strong base for development of sensory prosthetics.

描述（由申请人提供）：Visual Cortex的经典模型是，它是由一组滤镜组成的Quasi线性，独立的空间。但是，单个细胞的特征区分非常广泛，并且不符合视觉行为的良好性能。目前，几乎没有很少的证据将我们所感知的与视觉皮质细胞的选择性相当粗糙的选择性联系在一起。由于A17内的连通性极高，我们认为神经“代码”不能通过分析单个细胞的孤立响应来充分表达。一种联系假设是，视觉结构是通过在官能团中动态连接在一起的，一个历史理论是通过同步活动来定义这些组。该提议是对这些想法的直接探索。我们将使用25和100电极阵列从CAT的主要视觉皮层（A17）中同时记录大量单个单元格（A17）。我们将使用旨在募集分组活动的模式刺激细胞，并显示随着模式变化的群体如何变化。由于这些区域之间的横向连通性模式有所不同，因此我们将对上粒和粒状层中的细胞进行这些实验。我们将使用重力聚类和类型分析分析同步的细胞响应，这显示了细胞之间的合作性如何随时间和空间的变化。我们将在神经元之间显示依赖性，并探索逐审峰火车之间的关系。到目前为止，我们发现在某些刺激条件下，细胞分离为1.5 mm可以同步，并且同步分组中的成员身份可以随着刺激的变化而变化。我们将将这些结果从对简单刺激的反应扩展到更复杂的多重刺激，以探索视觉现象的生理基础，例如透明度和图形歧视。我们的全球目标是为在合奏的背景下而不是单个细胞活动的活动提供了视觉信息的表示基础。这是了解大脑如何处理感官信息的重要一步，并将有助于我们对大脑病理的了解，并为感官假体的发展提供了强大的基础。