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# Authors: Mainak Jas <mainak.jas@telecom-paristech.fr>
#
# License: BSD (3-clause)
from functools import partial
import os.path as op
from ...utils import verbose
from ..utils import (has_dataset, _data_path, _get_version, _version_doc,
_data_path_doc)
has_brainstorm_data = partial(has_dataset, name='brainstorm')
_description = u"""
URL: http://neuroimage.usc.edu/brainstorm/DatasetAuditory
- One subject, two acquisition runs of 6 minutes each
- Subject stimulated binaurally with intra-aural earphones
(air tubes+transducers)
- Each run contains:
- 200 regular beeps (440Hz)
- 40 easy deviant beeps (554.4Hz, 4 semitones higher)
- Random inter-stimulus interval: between 0.7s and 1.7s seconds, uniformly
distributed
- The subject presses a button when detecting a deviant with the right
index finger
- Auditory stimuli generated with the Matlab Psychophysics toolbox
"""
@verbose
def data_path(path=None, force_update=False, update_path=True, download=True,
verbose=None):
archive_name = dict(brainstorm='bst_auditory.tar.gz')
data_path = _data_path(path=path, force_update=force_update,
update_path=update_path, name='brainstorm',
download=download, archive_name=archive_name)
if data_path != '':
return op.join(data_path, 'bst_auditory')
else:
return data_path
_data_path_doc = _data_path_doc.format(name='brainstorm',
conf='MNE_DATASETS_BRAINSTORM_DATA'
'_PATH')
_data_path_doc = _data_path_doc.replace('brainstorm dataset',
'brainstorm (bst_auditory) dataset')
data_path.__doc__ = _data_path_doc
def get_version():
return _get_version('brainstorm')
get_version.__doc__ = _version_doc.format(name='brainstorm')
def description():
"""Get description of brainstorm (bst_auditory) dataset
"""
for desc in _description.splitlines():
print(desc)
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