R. Auksztulewicz: Dynamic Predictions: Interactions Between Memory, Context, and Sensory Processing

Abstract
The brain is thought to continuously generate predictions based on past experience to optimize perception and behavior - a framework known as predictive processing. While this phenomenon is well supported across human and animal research, the extent to which contextual factors such as attention and task demands shape auditory predictions is less clear. In this talk, I present findings from a series of studies combining human and rodent neural recordings with computational modeling to uncover the mechanisms underlying sensory predictions and their interaction with other cognitive factors.

Speaker's website

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