Explores brain node connectivity, node degree, strength, random networks, power law distributions, and the complexity of real networks.
Introduces the basics of brain connectomics, including terminology, data preprocessing, functional MRI, connectivity measures, and modular structure.
Covers bond percolation on a square lattice, discussing percolation phases, critical threshold, mean cluster size, and critical point scenarios.
Explores node degree and strength in network neuroscience, discussing random vs real networks and the challenges of fitting power laws to real data.
