Date: Wednesday, 10.01.2024 15:20-17:00 CET
Location: Building S1|15 Room 133
Abstract:
The idea that predictions shape how we perceive and comprehend the world has become increasingly influential in cognitive, computational, and systems neuroscience. It also forms an important framework for understanding neuropsychiatric disorders. However, the influence of predictions is often exclusively conceptualised in terms of feedback processes, whereby predictions generated in higher-level brain areas exert their influence on lower-level areas within an information-processing hierarchy. This notion excludes from consideration the predictive information that is directly built into the structure of the visual system, and is therefore embedded in the feedforward stream of processing. In my presentation, I will describe a series of computational studies and psychophysical experiments (in both typical observers and patient populations) looking at the role of feedback and feedforward forms of prediction in visual processing. I will conclude that the distinct implementation of each of these forms of prediction in the brain is critical, differentially affecting perceptual performance and representational efficiency.
