The Importance of Physiological Noise Regression in High Temporal Resolution fMRI

Norman Scheel, Catie Chang, Amir Madany Mamlouk. The Importance of Physiological Noise Regression in High Temporal Resolution fMRI. In Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa, editors, Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Volume 8681 of Lecture Notes in Computer Science, pages 829-836, Springer, 2014. [doi]

@inproceedings{ScheelCM14,
  title = {The Importance of Physiological Noise Regression in High Temporal Resolution fMRI},
  author = {Norman Scheel and Catie Chang and Amir Madany Mamlouk},
  year = {2014},
  doi = {10.1007/978-3-319-11179-7_104},
  url = {http://dx.doi.org/10.1007/978-3-319-11179-7_104},
  researchr = {https://researchr.org/publication/ScheelCM14},
  cites = {0},
  citedby = {0},
  pages = {829-836},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings},
  editor = {Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova-Hristova and Sven Magg and Günther Palm and Alessandro E. P. Villa},
  volume = {8681},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-11178-0},
}