A Multivariate Approach to Estimate Complexity of FMRI Time Series

Henry Schütze, Thomas Martinetz, Silke Anders, Amir Madany Mamlouk. A Multivariate Approach to Estimate Complexity of FMRI Time Series. In Alessandro E. P. Villa, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm, editors, Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II. Volume 7553 of Lecture Notes in Computer Science, pages 540-547, Springer, 2012. [doi]

@inproceedings{SchutzeMAM12,
  title = {A Multivariate Approach to Estimate Complexity of FMRI Time Series},
  author = {Henry Schütze and Thomas Martinetz and Silke Anders and Amir Madany Mamlouk},
  year = {2012},
  doi = {10.1007/978-3-642-33266-1_67},
  url = {http://dx.doi.org/10.1007/978-3-642-33266-1_67},
  researchr = {https://researchr.org/publication/SchutzeMAM12},
  cites = {0},
  citedby = {0},
  pages = {540-547},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II},
  editor = {Alessandro E. P. Villa and Wlodzislaw Duch and Péter Érdi and Francesco Masulli and Günther Palm},
  volume = {7553},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-33265-4},
}