A Computational Model of the Limulus Eye on the Connection Machine

We describe a computational model of the Limulus lateral eye to investigate the relationship between the neural coding of the retina and the visual performance of the animal. The network model, implemented on the massively parallel Connection Machine, computes the firing rates of optic-nerve fibers for simulated visual scenes. Intensity-response functions computed for individual nerve fibers that project to the brain agree with experimental measurements. Responses computed for the entire array of retinal neurons show that moving targets enhance the modulation of optic-nerve activity.

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