PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function
- DOI
- 10.25080/shinma-7f4c6e7-006
- Published
- 2017
- Container
- Proceedings of the 16th Python in Science Conference
- Publisher
- SciPy
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.25080/shinma-7f4c6e7-006,
title = {PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function},
author = {Jaime Arias and Philippe Ciuciu and Michel Dojat and Florence Forbes and Aina Frau-Pascual and Thomas Perret and Jan Warnking},
year = {2017},
journal = {Proceedings of the 16th Python in Science Conference},
doi = {10.25080/shinma-7f4c6e7-006},
url = {https://doi.org/10.25080/shinma-7f4c6e7-006}
}RIS
TY - JOUR TI - PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function AU - Jaime Arias AU - Philippe Ciuciu AU - Michel Dojat AU - Florence Forbes AU - Aina Frau-Pascual AU - Thomas Perret AU - Jan Warnking PY - 2017 JO - Proceedings of the 16th Python in Science Conference DO - 10.25080/shinma-7f4c6e7-006 UR - https://doi.org/10.25080/shinma-7f4c6e7-006 ER -
APA
Arias, J., Ciuciu, P., Dojat, M., Forbes, F., Frau-Pascual, A., Perret, T., & Warnking, J. (2017). PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. Proceedings of the 16th Python in Science Conference. https://doi.org/10.25080/shinma-7f4c6e7-006
Source records
- crossref · retrieved 2026-09-25T15:22:41.246Z