Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering

Axel Wismüller, Anas Z. Abidin, Adora M. DSouza, Mahesh B. Nagarajan. Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering. In Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll, editors, Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016. Volume 428 of Advances in Intelligent Systems and Computing, pages 217-226, Springer, 2016. [doi]

@inproceedings{WismullerADN16,
  title = {Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering},
  author = {Axel Wismüller and Anas Z. Abidin and Adora M. DSouza and Mahesh B. Nagarajan},
  year = {2016},
  doi = {10.1007/978-3-319-28518-4_19},
  url = {http://dx.doi.org/10.1007/978-3-319-28518-4_19},
  researchr = {https://researchr.org/publication/WismullerADN16},
  cites = {0},
  citedby = {0},
  pages = {217-226},
  booktitle = {Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016},
  editor = {Erzsébet Merényi and Michael J. Mendenhall and Patrick O'Driscoll},
  volume = {428},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-28517-7},
}