spike_analysis ❭ core ❭ STAPlugin_bursts ❭ event_analysis_bursts

STAPlugin_bursts.event_analysis_bursts¶

static spike_analysis.core.STAPlugin_bursts.event_analysis_bursts(row, event_maxtimes=None, event_names=None)¶

Detects high frequency events (doublet, triplet, …) that occur within a timewindow.

An event is always classified as the one with the highest number of spikes possible, E.g., [1, 5, 9] could be classified as doublet + singlet, but it will be a triplet.

Parameters:¶

• row (list-like) – Contains spike times.

• event_maxtimes (dict) – Dictionary where keys indicate event type (0 means singlet, 1 means doublet, 2 means triplet, …), and values indicate max duration of such an event.

• event_name (dict) – Dictionary with names of the events (0: ‘singlet’, 1: ‘doublet’, 2: ‘triplet’).

Returns:¶

One row per event. Columns are:

• event_time: Timepoint of the first spike belonging to the event.

• event_class: Class of event as defined in event_name.

• ISI_{n}: Interval from the first spike of the event to the nth spike of the event.

Return type:¶

pandas.DataFrame