CORDIS Project
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This project investigates how the brain learns to predict sensory inputs during self-motion, focusing on the visual cortex. It explores the role of prediction errors and neuromodulation in enhancing sensory processing and its implications for understanding various neurological conditions.
To perform sensory guided behaviors, animals need to distinguish self-generated and externally generated sensory inputs.
Predictive processing theories propose that the brain does this by learning to predict sensations caused by self-motion.
The key signals thought to drive this learning are prediction errors: differences between predicted and actual sensory input.
My previous work shows that neurons in the primary visual cortex (V1) compute visuomotor prediction errors, and that prediction erro…
THE UNIVERSITY OF EDINBURGH
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