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Mnemonic and predictive influences on sensory processing: mapping the neural computations

Project description

How memory and prediction impact current experiences

Past experiences and future expectations influence our perceptions. The Bayesian brain hypothesis suggests we use memories to predict the world, involving the neocortex and hippocampus. While these prediction networks are important for memory, they can also disrupt it. Understanding how the brain differentiates between memory and prediction is key to their interactions. The ERC-funded MemPred project aims to investigate the neural mechanisms that differentiate memory and prediction across brain networks. It will examine how task context influences these processes and develop a unified neurobehavioural model of their interaction, uncovering how memory and prediction impact current experiences. The findings are expected to provide a new framework for understanding the relationship between memory and prediction.

Objective

Processing the present (perception) is shaped by past experiences (memory) and current expectations of future events (prediction). The Bayesian brain hypothesis formalizes this idea, positing that living agents maintain a model of the world, built upon memories and entailing predictions of likely causes of sensations. Prediction is mediated by multiple brain regions such as sensory neocortex and the hippocampus, and my research has pinpointed several neural mechanisms of prediction across task contexts. Brain networks mediating prediction are also crucial for memory, suggesting they are closely related. However, emerging evidence indicates that predictive processing may disrupt memory encoding, raising the unresolved question: How does the brain differentiate between mnemonic and predictive processing? Understanding this distinction will not only clarify how memories inform predictions but also why they sometimes interfere.
To address this, MemPred will pursue three interconnected objectives: (1) dissecting the neural mechanisms that distinguish memory and prediction across brain networks, circuits and functions; (2) investigating how task context modulates memory/prediction signaling; and (3) deriving a unified neurobehavioral model of how memory and prediction interact to shape neural activity and behavior. By combining cutting-edge techniques in electrophysiology and neuroimaging with novel developments in computational modeling, MemPred will offer fundamentally new insights into the dissociable effects of memory and prediction on processing the present.
This research will not only advance cognitive neuroscience by elucidating the neural underpinnings of memory and prediction but will also lead to methodological breakthroughs in generative models for behavioral and neural data. MemPred's findings will extend to fields such as artificial learning and computational psychiatry, offering a novel framework for understanding the interplay between memory and prediction.

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Topic(s)

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2025-COG

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Host institution

UNIVERSITEIT MAASTRICHT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 999 462,00
Address
MINDERBROEDERSBERG 4
6200 MD Maastricht
Netherlands

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Region
Zuid-Nederland Limburg (NL) Zuid-Limburg
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 999 462,00

Beneficiaries (1)

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