Ettore Ambrosini

Cracking the predictive stability code: dual trial-by-trial spatio-temporo-spectral dynamics of task representation directional tuning by Bayesian conflict expectations

The paper analyzes EEG data from a spatial Stroop task to uncover how conflict expectations influence predictive stability through distinct spatio-temporo-spectral dynamics.

EEG microstate transition cost correlates with task demands

This paper introduces a framework to quantify cognitive effort using EEG microstates and optimal transport theory, validated on Stroop task data showing increased transition costs with task demands.

lmeEEG: Mass linear mixed-effects modeling of EEG data with crossed random effects

The paper introduces lmeEEG, a method for applying linear mixed-effects models to EEG data with crossed random effects, showing improved performance and computational efficiency.