Computational Topology in
@inproceedings{Stolz2014ComputationalTI, title={Computational Topology in}, author={Bernadette J. Stolz}, year={2014} }
Computational topology is a set of algorithmic methods developed to understand topological invariants such as loops and holes in high-dimensional data sets. In particular, a method know as persistent homology has been used to understand such shapes and their persistence in point clouds and networks. It has only been applied to neuronal networks in recent years. While most tools from network science focus solely on local properties based on pairwise connections, the topological tools reveal more…
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One Citation
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