Lecture
Node Degree and Strength
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Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.
Statistical Analysis of Network Data: Noisy Sampled Networks
Explores statistical analysis of network data, covering noisy sampled networks, likelihood estimation, multilayer networks, and directed networks.
Handling Network Data
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Structured Synaptic Connectivity
Explores the structured synaptic connectivity between hippocampal regions using techniques like mGRASP and modeling.
Scale-Free Networks: Power Laws and Preferential Attachment
Explores scale-free networks, power laws, preferential attachment, and network assortativity.
Statistical Analysis of Network Data
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Handling Networks: Graph Theory
Covers the fundamentals of handling networks and centrality measures in graph theory.
Networks and Brain Networks
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.