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The Brainstem Hippocampus Network Uncovered Dynamics Reactivation and Memory C...

The Brainstem Hippocampus Network Uncovered Dynamics Reactivation and Memory Consolidation Storing information and then using it to guide behaviour is one of the most remarkable abilities of the brain. Memory storage relies on network mechanisms in which the hippocampal formation interacts with the rest of the brain dur... ver más

31/07/2021

IST AUSTRIA

174K€

Presupuesto del proyecto: 174K€

Líder del proyecto

INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA 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 2021-07-31

MSCA-IF-2018: Individual Fellowships

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.

1 Participantes

IST AUSTRIA

174.17K€ | Lider

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Duración del proyecto: 24 meses Fecha Inicio: 2019-07-16
Fecha Fin: 2021-07-31

Líder del proyecto

INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 174K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Storing information and then using it to guide behaviour is one of the most remarkable abilities of the brain. Memory storage relies on network mechanisms in which the hippocampal formation interacts with the rest of the brain during periods of sleep. The neural computations associated with this process correlate with both enduring and transient changes in the excitability of neural circuits. Nuclei located in the brainstem dictate these ‘state changes’, modulating the signalling between groups of forebrain cells. However, the role of the brainstem in memory formation remains unknown. This project aims to determine the role of different sleep stages in memory formation and long-term consolidation, and to elucidate the functional role of the brainstem in these processes. To this end, I will use a battery of experimental techniques, mathematical methods and biophysical models to probe and analyse the neural activity of the brainstem-hippocampal system. Neuronal activity will be recorded concurrently from the pons, thalamus and hippocampus of mice while performing a reference memory task. I will identify specific neural mechanisms that trigger different hippocampal synchrony regimes and memory reactivations mediated by brainstem activity during wakefulness and sleep. For this, I will develop state-of-the-art methods based on signal processing and machine learning. Besides, using optogenetic tools, I will determine the causal role of the brainstem in regulating hippocampal circuits and the animals’ behavioural performance. Finally, I will develop a biophysical model to test how well different network mechanisms explain the dynamics of the interactions between the brainstem and the hippocampus. Understanding the detailed properties of the interactions between these systems of the brain in relation to memory processes will be an important step toward establishing neurophysiological markers that can be preventive targets to ameliorate effects of memory-related pathologies.

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