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Flexible and robust nervous system function from reconfiguring networks

Objective

It is now possible to monitor and manipulate neurons in live, awake animals, revealing how patterns of neural activity represent information and give rise to behaviour. Very recent experiments show that many circuits have physiology and connectivity that is highly variable and that changes continually, even when an animal’s behaviour and environment are stable. Existing theories of brain function assume that neural circuit parameters only change as required during learning and development. This paradigm cannot explain how consistent behaviour can emerge from circuits that continually reconfigure, nor what mechanisms might drive variability and continual change. Understanding this deep puzzle requires new theory and new ways to interpret experimental data. I will develop a theory of reconfiguring circuits by significantly generalizing my previous work that uses control theory to show how network activity can be maintained in spite of variability and continual turnover of crucial circuit components. We will analyse how biological plasticity mechanisms steer collective properties of neurons and circuits toward functional states without requiring individual parameters to be fixed, resulting in circuit models with consistent output but variable and mutable internal structures. In close collaboration with leading experimentalists we will challenge these modelling principles to account for new findings which reveal that navigation, sensory percepts and learned associations are underpinned by surprisingly dynamic, variable circuit connectivity and physiology. This will generate new, exciting questions that will drive experiments and theory together: how can known plasticity mechanisms generate reconfigurable neural representations? Do continually reconfiguring networks possess unique functional flexibility and robustness, and are they vulnerable to specific pathologies? And how can we design new experiments to test theories of robust, reconfigurable networks?

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-STG - Starting Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2016-STG

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Host institution

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
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.

€ 1 299 191,00
Address
TRINITY LANE THE OLD SCHOOLS
CB2 1TN CAMBRIDGE
United Kingdom

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Region
East of England East Anglia Cambridgeshire CC
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.

€ 1 299 191,00

Beneficiaries (1)

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