Computational Models of Neural Retina
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Computational models of the neural retina are extremely useful in the understanding of normal and abnormal retinal responses to light. They can also be for investigating retinal responses to artificial stimuli such as electrical stimulation by a vision prosthesis. Depending on the aims, complexities, and physiological assumptions on which the model is based, computational models of the retina may be classified into six broad types: single-compartment, morphologically realistic, block-compartment, discrete-neuronal network, continuum, and empirical models of retinal function.
The retina is an elaborate architecture of neurons interconnected through gap junctions and synapses. At the outer retina, an array of rod and cone photoreceptors converts the incident light to neural responses. These signals then pass through approximately ten types of cone and one type of rod...
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