User talk: EBRAINS as a Bridge Between Education and Research in Neuroscience: The EITN-EBRAINS Fall School Experience
This presentation describes how EBRAINS serves as a powerful platform for teaching computational neuroscience at the EITN-EBRAINS Fall School. Students engage directly with multiscale modelling tools—including NEST, NEURON, and The Virtual Brain—through hands-on tutorials and group projects. We discuss educational outcomes, project successes, and guidance for incorporating EBRAINS into future training initiatives.
Moderator: Ausra Saudargiene
Who You’ll Be Hearing From
This session brings together expert voices from across the EBRAINS community and beyond. Discover the people sharing their insights, research, and perspectives on the topic.
With an academic background in physics and life sciences, Damien Depannemaecker completed his PhD in neuroscience on computational models of neural dynamics. He is now based at the Institut de Neurosciences des Systèmes in Aix-Marseille, where he develops multiscale models integrating cellular mechanisms, mean-field population dynamics, and whole-brain simulations to study healthy and pathological brain dynamics, as well as patient trajectories in neurological and psychiatric disorders. His work combines dynamical-systems approaches with data-driven analyses and involves close collaboration with biologists and clinicians. He also contributes to EBRAINS training programmes and to the development of open modelling workflows.
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