ERC Starting Grant · 2024
Circuit mechanisms of cortical predictive learning
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 errors activate the locus coeruleus, a brain-wide neuromodulatory system. We will now investigate the circuit and neuromodulatory mechanisms underlying the learning of sensory predictions, using V1 as a…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.