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Microscope

Paris Brain Institute research teams

Team

Frontlab: the prefrontal cortex as a critical hub for higher cognitive functions: from health to disease

The goal of the Frontlab team is to understand better the role and organization of the prefrontal cortex in the control, activation, and inhibition of goal-directed behaviours.

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Dynamics of Epileptic Networks and Neuronal Excitability

The team "Dynamics of Epileptic Networks and Neuronal Excitability" explores how the brain becomes epileptic (epileptogenesis), how it produces seizures (ictogenesis) and the relationships between neurophysiological activities and clinical semiology...

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Brain Development

The "Brain Development" team, led by Bassem HASSAN, is interested in the formation of neurons and neural networks during brain development thanks to models of Drosophila and murine flies. The team is studying the transcriptional control of embryonic...

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Structural Dynamics of Neural Networks

The Network Structural Dynamics team aims to develop and use innovative 3D brain imaging technology and genetic tools to:

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Neuronal Circuits & Brain Dynamics

The "Neuronal Circuits & Brain Dynamics" team is interested in the organization of neural circuits and how the collective action of neurons gives rise to complex and emerging brain dynamics and behaviour.

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Causes of ALS and mechanisms of motor neural degeneration

The team led by Séverine BOILLEE is interested in the mechanisms that induce motoneuron degeneration in ALS and that may result from a deleterious interaction between these neurons and microglial and macrophage cells (immune system cells).

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Cognitive control – interoception – attention

The team led by Liane SCHMIDT & Philippe FOSSATI aims to understand how cognitive control mechanisms integrate external and internal cues and how this integration affects the behaviour of healthy subjects and patients with disorders such as...

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Algorithms, Models and Methods for Images and Signals of the Human Brain

The ARAMIS team, led by Olivier COLLIOT & Stanley DURRLEMAN, aims to build numerical models of brain diseases, particularly neurodegenerative pathologies, from multimodal patient databases. The main approaches used are machine learning (artificial...

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