James B. Ackman

The paper develops a data-driven method to filter artifacts and segment functional units from cortical activity recordings in awake mice.

The paper develops a supervised machine learning classifier to distinguish neural activity from artifacts in mesoscale calcium imaging data, achieving performance comparable to human identification.

This study describes structured neural activity patterns in developing mouse neocortex using high-resolution imaging, showing coordinated domains and functional connectivity across brain regions.