Abstract
Networks now play a prominent role in neuroscience research, supported by new data acquisition and analysis techniques. In this chapter we provide a brief introduction to this emerging field, with particular emphasis on methods to create (structural or functional) networks from neuronal data to characterize structural network properties. We also outline three simple models of networks, including the small-world network. The concepts introduced in this chapter provide a basic foundation to begin further exploration of networks in neuroscience, neurology and psychiatry. These clinical topics are covered in substantially more detail in the remaining chapters of the book.
Keywords: Node, edge, graph, path length, clustering coefficient, small world, functional connectivity.
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