François Paugam

Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play

This paper uses imitation learning with ANNs to model individual brain dynamics during videogame play, finding that subject-specific models better predict brain activity than generic ones.

Training neural networks from scratch in a videogame leads to brittle brain encoding

This study compares brain encoding performance of neural networks trained with different objectives on video game data, finding small advantages for reinforcement learning but overall brittle and limited generalization.

Continuous Evaluation of Denoising Strategies in Resting-State fMRI Connectivity Using fMRIPrep and Nilearn

This paper evaluates denoising strategies in resting-state fMRI using fMRIPrep and Nilearn, finding that scrubbing combined with global signal regression is effective but may disrupt continuous sampling.