Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue

Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret. Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue. Neural Computation, 28(11):2352-2392, 2016. [doi]

@article{AlbertBFR16,
  title = {Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue},
  author = {Mélisande Albert and Yann Bouret and Magalie Fromont and Patricia Reynaud-Bouret},
  year = {2016},
  doi = {10.1162/NECO_a_00839},
  url = {http://dx.doi.org/10.1162/NECO_a_00839},
  researchr = {https://researchr.org/publication/AlbertBFR16},
  cites = {0},
  citedby = {0},
  journal = {Neural Computation},
  volume = {28},
  number = {11},
  pages = {2352-2392},
}