Classes
Clusters(clusters, pvals, stat[, dimnames, …]) |
Container for results of cluster-based tests. |
Functions
read_cluster(fname[, subjects_dir, src, info]) |
Read standard Clusters .hdf5 file and return Clusters object. |
Functions
compute_regression_t(data, preds[, return_p]) |
Compute regression t values for whole multidimensional data space. |
format_pvalue(pvalue) |
Format p value according to APA rules. |
Classes
Topo(values, info[, side]) |
High-level object that allows for convenient topographic plotting. |
Functions
current_source_density(inst, G, H[, …]) |
Compute current source density for given mne object instance. |
Functions
compute_rest_psd(raw[, events, event_id, …]) |
Compute power spectral density (psd) for given time segments for all channels of given raw file. |
Functions
find_index(vec, vals) |
Find indices of values in vec that are closest to requested values vals. |
find_range(vec, ranges) |
Find specified ranges in an ordered vector and return them as slices. |
get_info(inst) |
Simple helper function that returns Info whatever mne object it gets. |
get_dropped_epochs(epochs) |
Get indices of dropped epochs from epochs.drop_log. |
silent_mne() |
Context manager that silences warnings from mne-python. |
detect_overlap(segment, annot[, sfreq]) |
Detect what percentage of given segment is overlapping with annotations. |
valid_windows(raw[, tmin, tmax, winlen, step]) |
Test which moving windows overlap with annotations. |
create_fake_raw([n_channels, n_samples, sfreq]) |
Create fake raw signal for testing. |
download_test_data() |
Download additional test data from dropbox. |