Visual neural adaptation models for optimization of multifocal intraocular lens

An interactive neuromorph model is constructed that combines the simulated optical imaging properties of the human eye with the region specific special sampling properties of the human retina. We need such a model to estimate the achievable visual acuity in different illuminating conditions depending on the actual optics of the eye. It is an essential modeling step as our goal is to investigate the neural adaptation mechanisms that take place after the alteration of the optical imaging properties of the eye, especially in the case of surgical replacement of the intraocular lens (e.g. a diffractive multifocal lens). This model demonstrates what are the achievable visual resolutions at the foveal and peripheral parts of the retina and provide an input for the models of the consecutive steps of the visual information processing.