Predictive coding is a theory of brain function that assumes the brain contains an internal model of the world, which constantly generates predictions about our environment, and updates the predictions if they deviate from the actual external inputs. Impaired predictive processing is suggested to underlie symptoms such as hallucinations and social disconnection in neurological disorders such as schizophrenia and autism. Treating these disorders requires understanding the neural mechanisms that generate and update prediction signals in the healthy brain. My long-term vision is to shed light on the circuits and computations that underlie predictive processing in the brain.
I will start my talk by presenting data from my previous and ongoing research that demonstrate predictive signals in cortical and cerebellar circuits in behaving mice. Then I will describe the gap in our knowledge about how the cerebellum and cortex may interact to support predictive behavior. Finally, I will present the future research plans for my lab to investigate these unknown questions, shedding light on the cortico-cerebellar circuitries that underlie predictive processing.