data_base ❭ db_initializers ❭ prepare_ANN_batches ❭ compute_ISI_array

compute_ISI_array¶

data_base.db_initializers.prepare_ANN_batches.compute_ISI_array(st, min_time, max_time, fillna=1000, step=1)¶

Calculate the time since the last spike in ms for each element in a spike time Array.

Given an array of spike times, this method returns a list of size (max\_time - min\_time)//time\_step, where each time step gives the amount of time since the last spike in ms.

Parameters:¶

st (pd.DataFrame | pd.Series) – pandas DataFrame or Series of spike times
timepoint (int) – Time point in ms
fillna (int, optional) – Fill with NaN until the array has this length. Defaults to None.

Returns:¶

A pandas Series of inter-spike intervals in ms.

Return type:¶

pd.Series