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; 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，一种表达我们对它的了解的特别有用的方法 功能是根据定义明确的动态网络模型的 相互作用的元素反映了定量生理特性 视觉神经元。 因此，描述不仅会 扩大我们的观点并加深我们对视觉本质的见解 活动;它也将更加牢固地关联视觉的症状 特定偏离正常动力学水平的异常 神经元的临床实用潜力。 本提案的目的是进一步发展这样的模型 相互作用的视觉神经元。 未来五年的主要重点 在CAT和 灵长类动物。 这将与 实验性工作，主要是刺激下的视觉神经元记录 从设计为加快建模的形式的计算机生成的显示。 将从这些数据动态方程开发，这将 总结行为并指示 正在调查的神经系统。 动力学方程 将翻译成计算机模拟，这将进一步 将预测与进一步的实验进行比较，并以此方式进行比较 建模过程将扩展。