CORDIS Project
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This project explores how the brain makes predictions based on sensory input and prior experiences. It aims to develop a computational model that efficiently represents and updates these predictions, enhancing our understanding of visual perception.
The brain uses prior experiences to make a “best guess” of the noisy and ambiguous information in the world around us.
These predictions are constantly updated as new sensory information becomes available, yet the computational resources of the brain are limited.
What is a viable model for representing and updating predictions in the brain that is both computationally efficient and neurobiologically plausible? I hypothesise that the brain represents predictions by decomposing them into their con…
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