Single-compartment models of retinal ganglion cells with different electrophysiologies. (2nd October 2017)

• Record Type: Journal Article
• Authors: Qin, Wei; Hadjinicolaou, Alex; Grayden, David B.; Meffin, Hamish; Burkitt, Anthony N.; Ibbotson, Michael R.; Kameneva, Tatiana
• Is Part Of: Network. Volume 28:Number 2/4(2017)
• Page Start: 74
• Page End: 93
• Publication Date: 2017-10-02
• Subjects: Computational neuroscience -- mathematical modelling -- retinal ganglion cells; Neural computers -- Periodicals; Neural networks (Computer science) -- Periodicals; 006.32
• DOI: 10.1080/0954898X.2018.1455993
• Languages: English
• ISSNs: 0954-898X

Abstract

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.