Explores paths, diffusion, and navigation in brain networks, including topics like Dijkstra's algorithm and network efficiency.
Explores brain node connectivity, node degree, strength, random networks, power law distributions, and the complexity of real networks.
Explores node degree and strength in network neuroscience, discussing random vs real networks and the challenges of fitting power laws to real data.
Covers the use of GNSS for space applications, including navigation, low-cost solutions, and real-time examples.
Covers global navigation, path planning algorithms, cell decomposition, potential field methods, and stigmergy-based path optimization.
Covers the basics of networks, focusing on brain networks, historical breakthroughs, small-world and scale-free network discoveries, and the importance of the human connectome.
