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Single-compartment models of retinal ganglion cells with different electrophysiologies
Network: Computation in Neural Systems ( IF 1.1 ) Pub Date : 2017-10-02 , DOI: 10.1080/0954898x.2018.1455993
Wei Qin 1 , Alex Hadjinicolaou 2 , David B. Grayden 1 , Hamish Meffin 3, 4 , Anthony N. Burkitt 1 , Michael R. Ibbotson 3, 4 , Tatiana Kameneva 1, 5
Affiliation  

ABSTRACT There are more than 15 different types of retinal ganglion cells (RGCs) in the mammalian retina. To model responses of RGCs to electrical stimulation, we use single-compartment Hodgkin–Huxley-type models and run simulations in the Neuron environment. We use our recently published in vitro data of different morphological cell types to constrain the model, and study the effects of electrophysiology on the cell responses separately from the effects of morphology. We find simple models that can match the spike patterns of different types of RGCs. These models, with different input–output properties, may be used in a network to study retinal network dynamics and interactions.

中文翻译:

具有不同电生理学的视网膜神经节细胞的单室模型

摘要哺乳动物视网膜中有超过 15 种不同类型的视网膜神经节细胞 (RGC)。为了模拟 RGC 对电刺激的反应,我们使用单室 Hodgkin-Huxley 型模型并在神经元环境中运行模拟。我们使用我们最近发表的不同形态细胞类型的体外数据来约束模型,并将电生理学对细胞反应的影响与形态学的影响分开研究。我们找到了可以匹配不同类型 RGC 的尖峰模式的简单模型。这些具有不同输入-输出特性的模型可用于网络以研究视网膜网络动态和相互作用。
更新日期:2017-10-02
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