eelbrain.event_impulse_predictor

eelbrain.event_impulse_predictor(shape, time='time', value=1, latency=0, name=None, data=None)

Time series with multiple impulses

Parameters:

shape (NDVar | str | UTS) – Shape of the output. Can be specified as the NDVar with the data to predict, or an (n_cases, time_dimension) tuple.
time (str | Sequence[float]) – Time points at which impulses occur.
value (float | Sequence[float] | str) – Magnitude of each impulse (default 1).
latency (float | Sequence[float] | str) – Latency of each impulse relative to time (default 0).
name (str) – Name for the output NDVar.
data (Dataset) – If specified, input items (time, value and latency) can be strings to be evaluated in data.

Return type:

NDVar