PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

Jaime Arias 0001, Philippe Ciuciu, Michel Dojat, Florence Forbes, Aina Frau-Pascual, Thomas Perret, Jan M. Warnking. PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. In Katy Huff, David Lippa, Dillon Niederhut, M Pacer, editors, Proceedings of the 16th Python in Science Conference 2017, SciPy 2017, Austin, Texas, July 10 - July 16, 2017. pages 34-40, scipy.org, 2017. [doi]

@inproceedings{AriasCDFFPW17,
  title = {PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function},
  author = {Jaime Arias 0001 and Philippe Ciuciu and Michel Dojat and Florence Forbes and Aina Frau-Pascual and Thomas Perret and Jan M. Warnking},
  year = {2017},
  doi = {10.25080/shinma-7f4c6e7-006},
  url = {https://doi.org/10.25080/shinma-7f4c6e7-006},
  researchr = {https://researchr.org/publication/AriasCDFFPW17},
  cites = {0},
  citedby = {0},
  pages = {34-40},
  booktitle = {Proceedings of the 16th Python in Science Conference 2017, SciPy 2017, Austin, Texas, July 10 - July 16, 2017},
  editor = {Katy Huff and David Lippa and Dillon Niederhut and M Pacer},
  publisher = {scipy.org},
}