RETINAL INPUTS TO VISUAL CORTEX

视网膜对视觉皮层的输入

基本信息

批准号：
2444368
负责人：
MICHAEL H ROWE
金额：
$ 17.7万
依托单位：
OHIO UNIVERSITY ATHENS
依托单位国家：
美国
项目类别：
财政年份：
1994
资助国家：
美国
起止时间：
1994-07-01 至 1999-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/2444368
关键词：
action potentials brain electrical activity brain mapping cats neural information processing neurophysiology retinal ganglion visual cortex visual fields visual pathways

项目摘要

In spite of several decades of intensive study, many prominent features of the physiology of visual cortex have not been fully elucidated. Among these are 1) the precise mapping of different retinal ganglion cell classes onto the diversity of cortical areas, layers and cell types, and 2) the mechanisms by which retinal signals are converge onto cortical cells so as to produce emergent properties such as orientation selectivity. In this proposal, we present a new method which permits direct exploration of these and other issues. We plan to record simultaneously from cortical cells and retinal ganglion cells with overlapping receptive fields, and by means of cross-correlating their spike trains, to identify the specific retinal inputs to cortical cells. By systematically mapping multiple retinal inputs to single cortical cells, we can test hypotheses about the contributions that these inputs make to cortical cell receptive field structure and properties. We can also compare the spatial and temporal tuning characteristics of cortical cells with that of their inputs, and can identify the contributions that X, Y, and W cells make to the functional attributes of cortical areas 17, 18, and 19 and their constituent cell types. These results will greatly expand our understanding of information processing in the visual system, and will establish a foundation upon which to understand the functions of intrinsic cortical circuits.

尽管进行了数十年的深入研究，但许多突出的特征视觉皮层的生理学尚未完全阐明。之中这些是1）不同视网膜神经节细胞的精确映射在皮质区域，层和细胞类型的多样性上进行类，以及 2）视网膜信号收敛到皮质的机制细胞以产生新兴特性，例如方向选择性。在此提案中，我们提出了一种允许的新方法直接探索这些问题和其他问题。我们计划记录同时来自皮质细胞和视网膜神经节细胞重叠的接收场，并通过交叉相关尖峰列车，以识别皮质细胞的特定视网膜输入。通过系统地将多个视网膜输入映射到单一皮质单元格，我们可以测试有关这些输入的贡献的假设使皮质细胞接受场结构和特性。我们可以还要比较皮质的空间和时间调谐特性带有输入的单元格，可以确定的贡献 X，Y和W细胞成为皮质区域17的功能属性， 18和19及其组成细胞类型。这些结果将大大扩展我们对视觉系统中信息处理的理解，并将建立一个理解功能的基础内在的皮质电路。