RT Journal Article ID 64cd0e236c1f5579 A1 Guo, Tianruo A1 Tsai, David A1 Bai, Siwei A1 Morley, John W. A1 Suaning, Gregg J. A1 Lovell, Nigel H. A1 Dokos, Socrates T1 Understanding the Retina: A Review of Computational Models of the Retina from the Single Cell to the Network Level JF Critical Reviews™ in Biomedical Engineering JO CRB YR 2014 FD 2015-01-21 VO 42 IS 5 SP 419 OP 436 K1 Retina K1 neuron K1 compartmental model K1 cascaded model K1 continuum model K1 network model AB The vertebrate retina is a clearly organized signal-processing system. It contains more than 60 different types of neurons, arranged in three distinct neural layers. Each cell type is believed to serve unique role(s) in encoding visual information. While we now have a relatively good understanding of the constituent cell types in the retina and some general ideas of their connectivity, with few exceptions, how the retinal circuitry performs computation remains poorly understood. Computational modeling has been commonly used to study the retina from the single cell to the network level. In this article, we begin by reviewing retinal modeling strategies and existing models. We then discuss in detail the significance and limitations of these models, and finally, we provide suggestions for the future development of retinal neural modeling. PB Begell House LK https://www.dl.begellhouse.com/journals/4b27cbfc562e21b8,64a3e6f7290a8a6e,64cd0e236c1f5579.html