*** We have decided to host the first session of this workshop remotely. If you wish to join this remote session and are not registered for the full workshop, please visit https://cubric-modelling-workshop-session1.eventbrite.co.uk ***

*** This event has been postponed until a later date in light of the latest advice concerning COVID-19 ***

If you wish to be added to the waiting list for this event, please contact Luke Tait using the details found at the bottom of this page.

If you want to learn what is meant by "modelling brain dynamics", have vague ideas for how modelling could be useful with your research but don't know where to begin, or simply think modelling sounds interesting and would like to learn more, this workshop is for you. Our hands on tutorial consists of three practical sessions aiming to introduce researchers to the methods and concepts used in modelling the brain and cognitive processes. These tutorials will be followed by two keynote speakers presenting their recent research utilising mathematical models of the brain. This workshop is a perfect opportunity for you to develop new skills, brainstorm new ideas, and network with the modelling community in CUBRIC to facilitate new collaborations.

Schedule

Welcome + introduction to modelling the brain, Luke Tait

Dynamics in brain networks: application to epilepsy, Marinho Lopes

Inferring models from neuroimaging data: Dynamic Causal Modelling, Alex Shaw

Plus keynote presentations from KongFatt Wong-Lin (Ulster University) and Dimitris Pinotsis (City University of London) presenting recent research in the field (registration not required).

By the end of the workshop you should be able to:

• Understand the advantages and limitations of modelling the brain, and why you might want to do it.
• Implement simple models of brain dynamics such as those measured by EEG, MEG, or fMRI.
• Perform simple analyses of brain models
• Use prebuilt packages such as SPM/DCM to fit brain models to real neuroimaging data
• Conceptually design modelling experiments

Attendees

The target audience is researchers in CUBRIC or with interests that align with those of CUBRIC (e.g. neuroimaging, psychology, etc). Attendees are not required to have any background in modelling the brain or mathematics. Since the practical sessions will be run in Matlab, basic Matlab skills such as loops and functions are desired. Availability is limited, and will be given on a first come, first serve basis.

Please feel free to contact Luke Tait for more information (contact details can be found below).