NOISE IN CONE CIRCUITS TO RETINAL GANGLION CELLS

视网膜神经节细胞视锥细胞回路中的噪声

• 批准号: 2165424
• 负责人: MICHAEL A FREED
• 金额: $ 13.9万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 1998-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2165424
• 关键词: amacrine cells; cats; computer simulation; cone cell; electrophysiology; gap junctions; neural information processing; neuroanatomy; neurophysiology; noise biological effect; retinal bipolar neuron; retinal ganglion; synapses; visual feedback; visual photoreceptor; voltage gated channel

Description. The signal-to-noise ratio (SNR) of ganglion cells determines the quality of retinal output and limits visual performance. Currently, there are no quantitative accounts of how retinal circuits minimize noise. The long term goals of the applicant have been to relate circuit structure to function in the cat retina using anatomical, electrophysiological, and computational approaches. The applicant proposes to measure the SNR of the generator potential of alpha and beta ganglion cells. He will determine how much noise arises from synapses upon these ganglion cells, compared to noise from ionic channels in ganglion cell membrane, and noise introduced by the circuitry between the cones and the ganglion cells. The applicant then proposes to use quantitative structural information in conjunction with physiological data to model this circuitry. This should provide information on how these circuits improve the SNR of ganglion cells.

描述。神经节细胞的信噪比（SNR）决定 视网膜输出的质量和限制视觉性能。现在， 没有关于视网膜电路如何最小化的定量说明 噪音。申请人的长期目标是关联电路 使用解剖学，在猫视网膜中发挥作用的结构 电生理和计算方法。申请人 提议测量Alpha和Beta的发电机电位的SNR 神经节细胞。他将确定突触产生多少噪音 在这些神经节细胞上，与来自离子通道的噪声相比 神经节细胞膜和由电路引入的噪声 锥和神经节细胞。然后，申请人建议使用 定量结构信息与生理 数据以建模该电路。这应该提供有关如何 这些电路改善了神经节细胞的SNR。