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The accurate modelling of the human visual system, particularly of the retina, would be a great achievement and a big step in the development of visual prostheses. Several methods and algorithms have been proposed to accomplish such a difficult task, mainly to what concerns the adaptation and nonlinear mechanisms of the retina. This paper presents the(More)
i Acknowledgements We would like to thank everyone that helped us to develop this work with special regard to our project supervisor, Prof. Leonel Sousa and our INESC-ID colleagues Pedro Tomás e José Germano for their support and guidance. We also present our appreciations to Prof. Borges de Almeida for his precious help in Neural Networks, and to Markus(More)
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