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We live in a largely predictable world. Capitalising on this statistical structure allows us to predict events and agents around us, which can result in potentially more efficient encoding, learning and recognition of input, and therefore appears a crucial skill.

In my talk, I will discuss recent work from my lab, investigating behaviour and brain activity, in which we are trying to elucidate the nature of predictive processing. I will argue that the brain represents a temporally discounted representation of future expected states. This representational format may lead to an efficient neural processing of expected input, and directs information sampling to situations of maximal uncertainty and surprise. I will illustrate this principle in the realm of visual perception, and natural language and music listening.



Find out more about the speaker at

The talk will take place in New Radcliffe House in the 2nd floor seminar room.

If you would like to chat with Floris on the day, please do get in touch with Jill O'Reilly at