neurodsp.plts.plot_bursts

neurodsp.plts.plot_bursts(times, sig, bursting, ax=None, **kwargs)

Plot a time series, with labeled bursts.

Parameters

times1d array or None

Time definition for the time series to be plotted. If None, time series will be plotted in terms of samples instead of time.

sig1d array

Time series to plot.

bursting1d array

A boolean array which indicates identified bursts.

axmatplotlib.Axes, optional

Figure axes upon which to plot.

**kwargs

Keyword arguments to pass into plot_time_series, and/or for customizing the plot.

Examples

Create a plot of burst activity:

>>> from neurodsp.sim import sim_combined
>>> from neurodsp.utils import create_times
>>> from neurodsp.burst import detect_bursts_dual_threshold
>>> sig = sim_combined(n_seconds=10, fs=500,
...                    components={'sim_synaptic_current': {},
...                                'sim_bursty_oscillation' : {'freq': 10}},
...                    component_variances=(0.1, 0.9))
>>> is_burst = detect_bursts_dual_threshold(sig, fs=500, dual_thresh=(1, 2), f_range=(8, 12))
>>> times = create_times(n_seconds=10, fs=500)
>>> plot_bursts(times, sig, is_burst, labels=['Raw Data', 'Detected Bursts'])

Examples using neurodsp.plts.plot_bursts

Using NeuroDSP with MNE

Using NeuroDSP with MNE

Burst Detection

Burst Detection