Millisecond resolution statistics of cortical populations

皮质群体的毫秒分辨率统计

• 批准号: 10224559
• 负责人: Daniel James Denman
• 金额: $ 6.52万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10224559
• 关键词: Brain; Cells; Code; Color; Dimensions; Dorsal; Impaired cognition; Lead; Mus; Neuraxis; Neurons; Photoreceptors; Population; Population Analysis; Population Statistics; Resolution; Retina; Retinal Cone; Sensory Disorders; Signal Transduction; Stimulus; Testing; Time; Vision; Vision Disorders; Visual; Visual Fields; Visual system structure; Work; base; density; millisecond; multi-electrode arrays; response; spatiotemporal; statistics; virtual reality environment; visual stimulus

PROJECT SUMMARY The mammalian visual system builds and transforms representations of the outside world through the concerted activity of populations of neurons based on the inputs received from the retina. Decades of work on single cells and pairs have informed our understanding of visual representation beyond the retina. For example, the asymmetric dorsal-ventral retinal cone distribution is known to lead to corresponding wavelength- based asymmetries in the responses of downstream visual cells. But relatively little is known about the spike time statistics of activity beyond pairs in the early visual system. While recent studies have described population correlations and dimensionality, there remains a large gap between these analyses of population activity and what is known of visual signaling from retinal and single cell studies in the mouse visual system. Here, we propose to test the hypothesis that the amount and format of population visual stimulus information depends on the wavelength content of the visual stimulus. Testing these hypotheses requires the ability to separately stimulate each of the photoreceptor classes with arbitrary spatiotemporal stimuli across enough of the visual field to drive large population responses. We will use multiple high-density multi-electrode arrays to record populations of single neurons in an immersive environment which can separately activate photoreceptors. This work will allow us to understand how known parallel channels in mouse vision influence population statistics, and in what ways populations statistics are misestimated when using photoreceptor and visual channel-limiting stimuli.

项目摘要 哺乳动物的视觉系统建立和转换表示外部世界通过 基于从视网膜接收的输入，神经元群体的协调活动。几十年的工作， 单细胞和成对的细胞为我们理解视网膜以外的视觉表征提供了信息。为 例如，已知不对称的背腹侧视网膜锥分布导致对应的波长- 基于下游视觉细胞反应的不对称性。但相对而言， 在早期视觉系统中，对活动的时间统计。虽然最近的研究表明 人口相关性和维度，这些人口分析之间仍然存在很大差距。 活动和什么是已知的视觉信号从视网膜和单细胞研究在小鼠视觉系统。 在这里，我们建议测试的假设，即人口视觉刺激信息的数量和格式 取决于视觉刺激的波长内容。检验这些假设需要具备以下能力： 用任意时空刺激分别刺激每个感光器类别， 视野来驱动大规模的群体反应。我们将使用多个高密度多电极阵列， 在沉浸式环境中记录单个神经元的群体， 光感受器这项工作将使我们能够了解小鼠视觉中已知的平行通道如何影响 人口统计，以及在使用感光器和 视觉通道限制刺激。