Schedule#

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.

09:15-10:30 am TBD

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Introduction to supervised learning using scikit-learn.

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10:45-12:00 TBD

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Model selection and validation using scikit-learn.

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ML interfaces for neuroimaging (S142)#

9-15-10:30 Hao-Ting Wang and Himanshu Aggarwal

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Machine learning in functional MRI using Nilearn

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10:45-12:00 Annalisa Pascarella and Vanessa Hadid

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Train machine learning models on MEG data using MNE-python and PyTorch.

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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)#

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Alessandro Gifford - Experimentation on in silico neural responses

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Foundational techniques (14:30-15:45)#

Pierre-Louis Barbarant, Peer Herholz (P310)

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Introduction to brain decoding in fMRI

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Hamza Abdelhedi (S142)

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Understanding Representational Similarity Analysis

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Keynote 2 (16:00-17:15 P310)#

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Melanie Segado - Towards modelling high-level movement

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