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SweetVision

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Cerrado

Envisioning the Reward Neuronal circuits for goal directed learning

Our ability to learn relies on the potential of neuronal circuits to change through experience. The overall theme of this project is to understand how sensory cortical circuits are modified by experience and learning. Recent resul... ver más

31/08/2025

UEDIN

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

THE UNIVERSITY OF EDINBURGH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-02-07

ERC-2019-COG: ERC Consolidator Grant

I+D

Cerrada hace 6 años

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Información adicional privada

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

2 Participantes

UEDIN

1.87M€ | Lider

ALFA LAN

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Duración del proyecto: 66 meses Fecha Inicio: 2020-02-07
Fecha Fin: 2025-08-31

Líder del proyecto

THE UNIVERSITY OF EDINBURGH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Our ability to learn relies on the potential of neuronal circuits to change through experience. The overall theme of this project is to understand how sensory cortical circuits are modified by experience and learning. Recent results have shown that learning the association of a visual stimulus with a reward modifies neuronal responses in primary visual cortex (V1). However, the cellular mechanisms underlying these experience-dependent changes remain largely unknown. Computational and experimental studies suggest that feedback pathways are crucial for adapting sensory processing by task demands, together with local interneurons that gate feedback through dendritic inhibition. I will test the hypothesis that feedback projections from higher level areas selectively enhance task-relevant information in V1 and that this process depends on dorsomedial striatal (DMS) output. Toward this aim, I am using chronic two-photon calcium imaging to monitor the activity of neuronal sub-populations in mouse V1, before, during and after two types of visual experience: a passive exposure to a visual stimulus and a rewarded visually-guided task. Published and preliminary results indicate that the representation of task-relevant features is enhanced and stabilised in V1 during learning while responses to non-relevant stimuli are suppressed. This project is organized around 3 aims: 1. To characterize top-down inputs to V1 neurons during passive and rewarded visual experience. 2. To characterize local circuits and single-neuron computation of task-relevant features within V1 3. To characterize the output of V1 neurons to higher cortical areas and DMS, during goal-directed learning. The expected results will show how behavioural training changes the neocortex to improve the encoding of behaviourally relevant visual objects. This project will uncover the circuits that are changed by and in turn dynamically gate relevant sensory information when an animal is learning a goal-directed task.

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