Erice 2024 - Modelling the brain in health and disease: theory and applications of digital twins

Modelling of molecular, cellular, microcircuits and large-scale properties of the brain is fundamental for developing the building blocks of a brain digital twin.

Once we have the scaffold, though, how can we personalise the brain digital twin in a way to maximise benefit for the single patients? The complexity of the brain requires all different modelling strategies to deal with both the complexity of its physiology and biology as well as with the data generated by current imaging (primarily MRI) and neurophysiological techniques. The problem therefore requires understanding of single neurons and local microcircuits as well as of global network behaviours. The course will include discussion on fundamental definitions, on data collection and on the computational modelling ecosystem. We will also be exploring the capacity offered by the EBRAINS infrastructure. From the discussion sections and networking events of the course we will forge new collaborations and foster the development of ideas on what to concentrate on in the years to come, inspiring young and established scientists, promoting interdisciplinary integration.

Course Directors: Egidio D’Angelo, Claudia Gandini Wheeler-Kingshott & Viktor Jirsa

How to Apply

Applications for attending the course must be sent via the registration form.

Pre-registration is mandatory.

The course fee includes registration, accommodation and meals and can be confirmed upon enquiries.

Abstract submission (for poster presentation only) is also possible. 

Abstracts submission deadline: 30th November 2024.

Please submit your abstracts, following the abstracts guidelines.

Enquiries: erice.golgi@gmail.com

Find out more: https://www.erice-golgi.org/programme-2024/