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Neural computations in the vertebrate retina and an analysis of GABA action from horizontal cells

机译:脊椎动物视网膜中的神经计算和水平细胞的GABA作用分析

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A neural network architecture, based on the neural anatomy and function of retinal neurons in tiger salamander and mudpuppy retinae, is proposed to study some basic aspects of early visual information processing. All the main types of retinal neurons are modeled, and their response characteristics are studied. The model predictions on the main characteristics of retinal neurons are in agreement with the neurophysiological data, including the antagonistic role of horizontal cells in the outer plexiform layer, and the sustained and transient responses of amacrine cells in the inner plexiform layer. The examination of possible /spl gamma/-aminobutyric acid (GABA) action from horizontal cells suggests that GABA/sub A/ alone, GABA/sub B/ alone, or their weighted combination can generate the response characteristics observed in bipolar cells.
机译:为了研究早期视觉信息处理的一些基本方面,提出了一种基于神经解剖学和老虎sal和粘液视网膜的视网膜神经元功能的神经网络体系结构。对所有主要类型的视网膜神经元进行建模,并研究其响应特征。关于视网膜神经元主要特征的模型预测与神经生理学数据一致,包括水平细胞在外丛状层中的拮抗作用以及内分泌在内丛状层中的无长突细胞的持续和短暂反应。对水平细胞可能的/ splγ/氨基丁酸(GABA)作用的检查表明,单独的GABA / sub A /,单独的GABA / sub B /或其加权组合可以产生在双极细胞中观察到的响应特征。

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