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Updated: May 14, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
Published on: June 21, 2022
Modeling normal and rebound excitation in mammalian retinal ganglion cells
Tianruo Guo1, David Tsai, Gregg J Suaning
1Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia.
Abstract:
In this study, we used a novel missing currents technique to extend an existing conductance-based ionic current model of retinal ganglion cells (RGCs). The revised model reproduced a variety of biological behaviors. In particular, the model contains a hyperpolarization activated current (I(h)). This model can effectively simulate the mechanisms underlying both normal and rebound action potentials. The technique used in this study is generally applicable to other excitable cell models, reducing the gap between theoretical models and real biological neurons.

