DYNAMIC PATTERN ANALYSIS OF RETINAL FUNCTION

描述（改编自申请人的摘要）：拟议工作的目标 是通过仔细分析视网膜的动态变化来理解视网膜的处理过程 在每个视网膜水平产生的活动的（时空）模式。的 时空模式将以两种互补的方式产生：（1） 模式将通过一种新的方法来测量和构建， 生理记录的兴奋和抑制在一个大的区域， 每个视网膜水平的每种细胞类型，并将结果扩展到人群 （2）该细胞类型的模式将被生成为紧急模式。 通过将空间、时间和视觉信息结合起来构建视网膜模型， 药理学和形态学特性来源于单细胞研究。 将比较测量的和建模的模式，以评估定量 模型中体现的视网膜假设。建模基础设施， 细胞神经网络（CNN）现在已经建立了大规模并行 模拟阵列处理器设计的架构非常相似， 脊椎动物视网膜这些研究将展示简单和复杂的刺激 在物理，电活动（兴奋性和 抑制性膜电流和电压） 每个视网膜水平的元素。对这些数据的分析将深入了解 调节视觉功能并提供一些 通过每个视网膜神经元相互作用进行的策略的线索， 水平

DESCRIPTION (Adapted from applicant's abstract): The goal of the proposed work is to understand retinal processing through a careful analysis of the dynamic (space-time) patterns of activity that are generated at each retinal level. The spatiotemporal patterns will be generated in two complementary ways: (1) patterns will be measured and constructed through a novel method of physiological recording of excitation and inhibition over a large region for every cell type at each retinal level and extending the result to a population of that cell type, and (2) the patterns will be generated as the emergent properties of retinal models constructed by incorporating the space, time pharmacological and morphological properties derived from single cell studies. The measured and modeled patterns will be compared to evaluate the quantitative hypothesis of retinal embodied in the model. The modeling infrastructure, the Cellular Neural Network, (CNN) is now well-established massively parallel analog array processor designed with an architecture quite similar to the vertebrate retina. These studies will show how both simple and complex stimuli are represented in terms of physical, electrical activity (excitatory and inhibitory membrane currents and voltages) across arrays of thousands of elements at each retinal level. Analyses of these data will yield insights into the underlying neural mechanisms that mediate visual function and provide some clues about the strategies undertaken via neuronal interactions at each retinal level.