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FLEXNEURO

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Cerrado

Flexible and robust nervous system function from reconfiguring networks

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 physiolo... ver más

31/07/2023

THE CHANCELLOR MAS...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-07-31

ERC-2016-STG: ERC Starting Grant

I+D

Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

THE CHANCELLOR MASTERS AND S...

1.30M€ | Lider

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Duración del proyecto: 79 meses Fecha Inicio: 2016-12-08
Fecha Fin: 2023-07-31

Líder del proyecto

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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?

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