Prepare Sorenza's presentation

[JohnGriffiths]

• Whole-brain
• Neural mass
• Whobpyt

[JohnGriffiths]

JG to do: share some of my prev edu talk slides

[sbastiaens]

Current overview plan:

• Introduction: Presenting myself, welcome, and plan
• Background: Context of why NMM and large-scale modelling important and why it’s needed with mention of whole-brain imaging modalities (EEG/MEG, fMRI also ECoG, fNIRS and PET).
• General explanation about NMM, types (convolution and conductance based), common operators Present three specific NMM that are used in WhoBPyt: JR, reduced WW and RWW (although for RWW do I present more as a NFM? Not sure yet what is the best approach here).
• Connectome-based NMM explanation: framework, how it works, how then get sensor EEG and BOLD fMRI from this type of modelling
• Applications with concrete examples: So far thinking of Davide TMS-EEG and here present WhoBPyt, Stefanovski AD (although would more introduce as he gives a talk about it in the afternoon, so could mention it) and present TVB maybe?, would be good to have a third one that includes thalamus, maybe Bhattacharya paper (thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease), or Jil Meier (TVB)

[sbastiaens]

Shared with Davide and John draft in google drive