Zoltán Toroczkai

The paper introduces an information-theoretic method to detect community structure in dense cortical networks, revealing a nested hierarchy of link and node communities in macaques.

The paper develops a machine learning framework to assess predictability in cortical interareal connections across macaque and mouse brains, finding significant predictability in medium and strong links.

The paper analyzes mouse cortical connectivity using tracer injections and histological markers, revealing high graph density and distinct connectivity profiles compared to macaques.