neurodsp.plts.plot_lagged_coherence

neurodsp.plts.plot_lagged_coherence(freqs, lcs, ax=None, **kwargs)

Plot lagged coherence values across frequencies.

Parameters:

freqs1d array

Vector of frequencies at which lagged coherence was computed.

lcs1d array

Lagged coherence values across the computed frequencies.

axmatplotlib.Axes, optional

Figure axes upon which to plot.

**kwargs

Keyword arguments for customizing the plot.

Examples

Plot lagged coherence:

>>> from neurodsp.sim import sim_combined
>>> from neurodsp.rhythm import compute_lagged_coherence
>>> sim_components = {'sim_synaptic_current': {},
...                   'sim_bursty_oscillation': {'freq': 20,
...                                              'burst_params': {'enter_burst' : 0.50,
...                                                               'leave_burst' : 0.25}}}
>>> sig = sim_combined(n_seconds=10, fs=500, components=sim_components)
>>> lag_cohs, freqs = compute_lagged_coherence(sig, fs=500, freqs=(5, 35),
...                                            return_spectrum=True)
>>> plot_lagged_coherence(freqs, lag_cohs)

Examples using neurodsp.plts.plot_lagged_coherence

Using NeuroDSP with MNE

Using NeuroDSP with MNE

Lagged Coherence

Lagged Coherence