PyHRF is a set of tools for within-subject fMRI data analysis, which focuses on the characterization of the hemodynamics.
Within the chain of fMRI data processing, these tools provide alternatives to the classical within-subject GLM estimation step. The inputs are preprocessed within-subject data and the outputs are statistical maps and/or fitted HRFs.
The package is mainly written in Python and provides the implementation of the two following methods:
Check the PyHRF website for details.
pyhrf.
Verbose
(verbosity=0, log=<open file '<stdout>', mode 'w'>)¶Bases: pyhrf._verbose.Verbose
This is a dummy class implementing the original Verbose class.
This is only to be able to raise a warning when one uses this old implementation.
old_to_new_log_dict
= {0: 30, 1: 20, 2: 20, 3: 20, 4: 20, 5: 10, 6: 10}¶