DYNAMICS OF INTERACTING VISUAL NEURONS

视觉神经元相互作用的动力学

• 批准号: 3255952
• 负责人: BRUCE W KNIGHT
• 金额: $ 14.21万
• 依托单位: ROCKEFELLER UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1977
• 资助国家: 美国
• 起止时间: 1977-09-01 至 1994-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3255952
• 关键词: biological models; color visions; dark adaptation; dendrites; electrophysiology; lateral geniculate body; light adaptations; mathematical model; model design /development; retinal ganglion; sequential perception; synapses; visual feedback; visual pathways; visual perception; visual stimulus

Because the visual system is a collection of information processing networks, a particularly useful way to express our knowledge of its function is in terms of a well defined dynamical network model whose interacting elements reflect the quantitative physiological properties of visual neurons. As such a description evolves, it will not only broaden our view and deepen our insight concerning the nature of visual activity; it will also more sharply relate the symptoms of visual abnormalities to specific departures from normal dynamics at the level of neurons, in a way that has clear potential for clinical usefulness. The goal of the present proposal is to further develop such a model of interacting visual neurons. Major emphasis in the next five years will be upon detailed dynamical modeling of retinal activity in cat and in primates. This will be carried forward in close conjunction with experimental work, primarily visual neuron recordings under stimulation from computer-generated displays of a form devised to expedite modeling. From these data dynamical equations will be developed, which will summarize the behavior and indicate the physiological structure of the piece of nervous system under investigation. The dynamical equations will be translated into computer simulations which will make further predictions to be compared against further experiments, and in this way the process of modeling will be extended.

因为视觉系统是信息处理的集合 网络，一种表达我们对其知识的特别有用的方式 函数是一个明确定义的动态网络模型，其 相互作用的元素反映了定量的生理特性 视觉神经元。 随着这种描述的发展，它不仅会 拓宽我们的视野，加深我们对视觉本质的认识 活动;它还将更清晰地关联视觉症状 水平上与正常动态的特定偏离的异常 神经元，以一种具有明显临床用途潜力的方式。 本提案的目标是进一步开发这样的模型 相互作用的视觉神经元。 未来五年的重点将是 建立猫和人视网膜活动的详细动态模型 灵长类动物。 这将与 实验工作，主要是刺激下的视觉神经元记录 来自计算机生成的旨在加快建模的形式的显示。 根据这些数据将建立动力学方程，这将 总结行为并指出生理结构 正在研究的神经系统的一部分。 动力学方程 将被转化为计算机模拟，这将进一步 预测与进一步的实验进行比较，这样 建模过程将被延长。