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Graph Theory Methods for the Analysis of Neural Connectivity Patterns

  • Sporns O
Springer US, (2003), 171-185
DOI: 10.1007/978-1-4615-1079-6_12
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Abstract

Abstract This paper summarizes a set of graph theory methods that are of special relevance to the computational analysis of neural connectivity patterns. Methods characterizing average measures of connectivity, similarity of connection patterns, connectedness and ...

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Sporns, O. (2003). Graph Theory Methods for the Analysis of Neural Connectivity Patterns. In Neuroscience Databases (pp. 171–185). Springer US. https://doi.org/10.1007/978-1-4615-1079-6_12

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