Functions for event segmentation or modeling of dataset.
Functions
assign_conditionlabels(ds, events[, ...]) | Convert events into a condition label attribute of a dataset |
eventrelated_dataset(ds, events[, ...]) | This function is deprecated. |
events2sample_attr(events, time_coords[, ...]) | Build a sample attribute array form an event list |
extract_boxcar_event_samples(ds[, events, ...]) | Segment a dataset by extracting boxcar events |
find_events(**kwargs) | Detect changes in multiple synchronous sequences. |
fit_event_hrf_model(ds, events, time_attr[, ...]) | Fit a GLM with HRF regressor and yield a dataset with model parameters |
value2idx(val, x[, solv]) | Convert a value into an index of the closes matching array element. |
Classes
BoxcarMapper(startpoints, boxlength[, offset]) | Mapper to combine multiple samples into a single sample. |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
Event(**kwargs) | Simple class to define properties of an event. |
FlattenMapper([shape, maxdims]) | Reshaping mapper that flattens multidimensional arrays into 1D vectors. |
mvpa2.datasets.eventrelated.assign_conditionlabels
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