Loriz Francisco Sallum

The paper uses EEG and machine learning to analyze how functional brain networks reorganize after ayahuasca, finding decreased hub influence and increased distributed pathways in the right hemisphere.

This paper introduces a deep learning framework for classifying calcium imaging dynamics using quantile-based time-series representations, showing strong performance across different preprocessing strategies and noise conditions.