Bayesian models of perception

In the last 20 years or so, there has been an explosion of work and interest in Bayesian models of perception. But what are Bayesian models? And why are they interesting? These models are elegant descriptions of how an organism might perceive or make decisions about the world. The brain, is locked inside a bony skull, and therefore has to create a controlled hallucination about the world around it, in order to effectively act and survive. The central tenet of these models, is that perception and action (and subsequent decisions) are not just based on current sensory information, but also prior knowledge about the world.

Dr Darren Rhodes will demonstrate the application Bayesian models in the realm of timing and time perception, and show how they can capture behavioural data in a series of experiments and situations.

Darren teaches Research Methods and Statistics at Nottingham Trent University. A substantial amount of his work focuses on application of Bayesian approaches to perception and action. His main research area is in timing and time perception. Darren is also the lead for Open Research at NTU.

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