COMPUTATIONAL MODELS OF RETINAL FUNCTION

视网膜功能的计算模型

• 批准号: 2430944
• 负责人: ROBERT B BARLOW
• 金额: $ 15.01万
• 依托单位: UPSTATE MEDICAL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-04-01 至 2000-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2430944
• 关键词: alternatives to animals in research; behavioral /social science research tag; biological models; computational neuroscience; computer program /software; horseshoe crabs; light intensity; neural information processing; parallel processing; photostimulus; retina; visual feedback; visual pathways; visual perception; visual stimulus

The long-range goal of our research is to understand the neural basis of visual behavior. We will work toward this goal by studying the Limulus visual system. Its retina contains the largest neural network for which a quantitative model exists, and we understand the animal's visual behavior well enough to determine precisely what it sees. our computational studies have yielded remarkable, new insights about how the retinal network encodes important visual information. We will combine theoretical and experimental techniques to investigate what information the eye must send to the brain for the animal to see and how the brain decodes this information.

我们研究的长期目标是了解 视觉行为 我们将通过研究鲎来实现这一目标 视觉系统 它的视网膜包含了最大的神经网络， 定量模型存在，我们了解动物的视觉行为， 足以精确地确定它看到了什么。 我们的计算研究 对视网膜网络如何编码产生了非凡的新见解 重要的视觉信息。 我们将联合收割机理论和实验相结合 研究眼睛必须向大脑发送什么信息的技术 以及大脑如何解码这些信息。