Vanessa Hadid

This study investigates how semantic context and sensory reliability influence multisensory integration in decision-making, revealing two distinct pathways for combining sensory information.

This study uses clustering to identify executive function profiles in children's design fluency tasks, finding that overall task measures better distinguish profiles than minute-by-minute data.

This paper evaluates the impact of class imbalance on ML performance in neuroscience, showing that Accuracy is misleading and recommending Balanced Accuracy and Random Forest with stratified cross-validation.

NeuroPycon provides a Python toolkit for reproducible brain connectivity analysis by integrating neuroimaging tools into a unified framework with parameter files for replication.