1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93
|
"""MNE for MEG and EEG data analysis
"""
__version__ = '0.8.6'
# have to import verbose first since it's needed by many things
from .utils import (set_log_level, set_log_file, verbose, set_config,
get_config, get_config_path, set_cache_dir,
set_memmap_min_size)
from .io.pick import (pick_types, pick_channels, pick_types_evoked,
pick_channels_regexp, pick_channels_forward,
pick_types_forward, pick_channels_cov,
pick_channels_evoked, pick_info)
from .io.base import concatenate_raws, get_chpi_positions
from .io.meas_info import create_info
from .cov import (read_cov, write_cov, Covariance,
compute_covariance, compute_raw_data_covariance,
whiten_evoked)
from .event import (read_events, write_events, find_events, merge_events,
pick_events, make_fixed_length_events, concatenate_events,
find_stim_steps)
from .forward import (read_forward_solution, apply_forward, apply_forward_raw,
do_forward_solution, average_forward_solutions,
write_forward_solution, make_forward_solution,
convert_forward_solution, make_field_map)
from .source_estimate import (read_source_estimate,
SourceEstimate, VolSourceEstimate, morph_data,
morph_data_precomputed, compute_morph_matrix,
grade_to_tris, grade_to_vertices,
spatial_src_connectivity,
spatial_tris_connectivity,
spatial_dist_connectivity,
spatio_temporal_src_connectivity,
spatio_temporal_tris_connectivity,
spatio_temporal_dist_connectivity,
save_stc_as_volume, extract_label_time_course)
from .surface import (read_bem_surfaces, read_surface, write_bem_surface,
write_surface, decimate_surface, read_morph_map,
read_bem_solution, get_head_surf,
get_meg_helmet_surf)
from .source_space import (read_source_spaces, vertex_to_mni,
write_source_spaces, setup_source_space,
setup_volume_source_space,
add_source_space_distances)
from .epochs import Epochs, EpochsArray, read_epochs
from .evoked import (Evoked, EvokedArray, read_evoked, write_evoked,
read_evokeds, write_evokeds)
from .label import (label_time_courses, read_label, label_sign_flip,
write_label, stc_to_label, grow_labels, Label, split_label,
BiHemiLabel, labels_from_parc, parc_from_labels,
read_labels_from_annot, write_labels_to_annot)
from .misc import parse_config, read_reject_parameters
from .coreg import (create_default_subject, scale_bem, scale_mri, scale_labels,
scale_source_space)
from .transforms import (transform_coordinates, read_trans, write_trans,
transform_surface_to)
from .proj import (read_proj, write_proj, compute_proj_epochs,
compute_proj_evoked, compute_proj_raw, sensitivity_map)
from .selection import read_selection
from .dipole import read_dip
from .layouts.layout import find_layout
from .channels import (equalize_channels, rename_channels,
read_ch_connectivity)
from . import beamformer
from . import connectivity
from . import coreg
from . import cuda
from . import datasets
from . import epochs
from . import externals
from . import fiff # XXX : to be deprecated in 0.9
from . import io
from . import filter
from . import gui
from . import layouts
from . import minimum_norm
from . import mixed_norm
from . import preprocessing
from . import simulation
from . import stats
from . import time_frequency
from . import viz
from . import decoding
from . import realtime
# initialize logging
set_log_level(None, False)
set_log_file()
# initialize CUDA
if get_config('MNE_USE_CUDA', 'false').lower() == 'true':
cuda.init_cuda()
|