machine learning

Using ALE algorithm and machine learning to classify need and desire states

The goal of this project is to make a classification of the needs and desires states from studies fMRI datas

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rs-fMRI Workflow from Preprocessing to Machine Learning Classification

Can functional connectivity predict sensory deprivation? This project 1. explores neuroimaging data organization and preprocessing using open science tools and 2. uses a predictive model to classify whether a participant is hearing or not. For better visualization, the most contributing coefficients in the classifier are displayed on the brain.

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The face of pain: predicting the facial expression of pain from fMRI data

What can our brain tells us about our facial expression in response to painful stimulus ? This projects aims to compare different regression algorithms to see if it is possible to predict facial expression of pain from fMRI data in healthy adults.

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