All sessions running on October 25th 2024.
Morning: neuroAI primers¶
Two tracks will run in parallel, with common events: 08:00-09:00 Registration, snack and coffee (main entrance hall). 09:00-09:10 Welcome (room P310). 10:30-10:45 break with coffee and snack (main entrance hall).
Introduction to machine learning (room P310)¶
This track is hosted in room P310.
Introduction to supervised learning using scikit-learn
Jean-Baptiste Poline 09:15 am - 10:30 am
Model selection and validation using scikit-learn
Nikhil Bhagwat 10:45 am - 12:00 am
ML interfaces for neuroimaging (S142)¶
Machine learning in functional MRI using Nilearn
09:15 am -10:30 am
Train machine learning models on MEG data using MNE-python and PyTorch
10:45 am - 12:00 am
Afternoon: neuroAI models¶
Note the following services offered:
12:00-13:00 Lunch (main entrance)
14:15-14:30 break with coffee and snack (main entrance)
15:45-16:00 break with coffee and snack (main entrance)
Keynote 1 (13:00-14:15 P310)¶
Foundational techniques (14:30-15:45)¶
Introduction to brain decoding in fMRI
Pierre-Louis Barbarant, Peer Herholz (P310)
Understanding Representational Similarity Analysis
Hamza Abdelhedi (S142)
