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Circuit elements of the cortical circuit for predictive processing

Project description

Study on cortical circuits could reveal fundamental brain functions

Predictive processing is a promising theoretical framework to explain the function of cortex. It postulates that cortex maintains an internal representation of the world by comparing it with incoming sensory information. An implementation of predictive processing in the cortical circuit would require a set of distinct functional cell types. The EU-funded CELPRED project seeks to identify different putative circuit elements and cell types that are thought to form the circuit in the mouse visual cortex. Using a combination of physiological recordings, optogenetic manipulations of neural activity, and gene expression measurements, it will determine cell types with functional responses consistent with different prediction errors. Identifying the circuit elements underlying predictive processing in the cortex will further reveal the circuit mechanisms that underlie brain processes and behaviour.

Objective

One promising theoretical framework to explain the function of cortex is predictive processing. It postulates that cortex functions by maintaining an internal model, or internal representation, of the world through a comparison of predictions based on this internal model with incoming sensory information. Implementing predictive processing in a cortical circuit would require a set of distinct functional cell types. These would include neurons that compute a difference between top-down predictions and bottom-up input, referred to as prediction error neurons, and a separate population of neurons that integrate the output of prediction error neurons to maintain an internal representation of the world. This research proposal will test the framework of predictive processing and identify different putative circuit elements and cell types that are thought to form the circuit in mouse visual cortex. We will use a combination of physiological recordings, optogenetic manipulations of neural activity, and gene expression measurements to determine the cell types that have functional responses consistent with different prediction errors, as well as those coding for the internal representation. Identifying the circuit elements underlying predictive processing in cortex may reveal a strategy to bias processing either towards top-down or bottom-up drive when the balance between the two is perturbed, as may be the case in neuropsychiatric disorders.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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ERC-COG - Consolidator Grant

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Call for proposal

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(opens in new window) ERC-2019-COG

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Host institution

FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH FONDATION
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.

€ 2 000 000,00
Address
FABRIKSTRASSE 2
4056 BASEL
Switzerland

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Region
Schweiz/Suisse/Svizzera Nordwestschweiz Basel-Stadt
Activity type
Research Organisations
Links
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.

€ 2 000 000,00

Beneficiaries (1)

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