Tutorial on brain decoding - part 1 

Part 1 of a tutorial on brain decoding, given by Peer Herolz, Bertrand Thirion, Alexis Thual and Shima Rastegarnia and organized as part of the 2022 educational workshop of the Montreal NeuroAI (MAIN) conference.
Check out part 2 of the tutorial here: • Tutorial on brain deco...
Objectives of the tutorial:
Understand the core aspects & principles of brain decoding including dataset requirements
Explore different decoding models that can be applied to brain data
Support Vector Machines (SVMs)
Multilayer Perceptrons (MLPs)
Graph-Convolutional Neural Networks (GCNs)
Get first hands-on experience using the respective python libraries
Questions you will be able to answer after taking this tutorial:
What does brain decoding entail?
What kind of data and information is required for brain decoding analyses?
What are examples of suitable decoding models and what do they comprise?
Materials:
The jupyter book of the tutorial: main-education...
The github repository of the tutorial: github.com/mai...
More information on MAIN educational: main-education...