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Many models have been proposed to describe the visual proces sing mechanisms in the retina. The spike generation mechanism of the models is typically performed b y a Poisson process. Alternatively, a more realistic approach can be used by implementing an integrate and fire mechanism. In this paper we show that the Stochastic Leaky Integrate and Fire (SLIF) model is quivalent to a non-linear Poisson-based model. Furthermore, it proposes a dynamic model for the retina visu al processing path, achieved through modulations. For estimating this model a two-step approach is proposed: i) an initial estimation is computed by using a spike-triggered analysis, and ii) the likelihood of the spike train is maximised by gradient as cent.

TOWARDS A UNIFIED MODEL FOR THE RETINA - Static vs Dynamic Integrate and Fire Models