By treating perception and decision making as a statistical inference processes we can describe individual steps and processes in the sensation to action cycle using computational models. This allows us to test specific hypothesis as to whether, when and how sensory information is integrated to yield a more robust and reliable sensory percept. Furthermore, this allows us to understand how contextual factors such as prior expectation, prior sensory experience and perceptual learning affect sensory integration.