hnn_core.viz.plot_dipole¶
- hnn_core.viz.plot_dipole(dpl, tmin=None, tmax=None, ax=None, layer='agg', decim=None, color='k', label='average', average=False, show=True)[source]¶
Simple layer-specific plot function.
- Parameters:
- dplinstance of Dipole | list of Dipole instances
The Dipole object.
- axinstance of matplotlib figure | None
The matplotlib axis
- layerstr
The layer to plot. Can be one of ‘agg’, ‘L2’, and ‘L5’
- decimint or list of int or None (default)
Optional (integer) factor by which to decimate the raw dipole traces. The SciPy function
decimate()
is used, which recommends values <13. To achieve higher decimation factors, a list of ints can be provided. These are applied successively.- colortuple of float | str
RGBA value to use for plotting. By default, ‘k’ (black)
- labelstr
Dipole label. Enabled when average=True
- averagebool
If True, render the average across all dpls.
- showbool
If True, show the figure
- Returns:
- figinstance of plt.fig
The matplotlib figure handle.
Examples using hnn_core.viz.plot_dipole
¶
01. Simulate Event Related Potentials (ERPs)
01. Simulate Event Related Potentials (ERPs)
05. Simulate beta modulated ERP
05. Simulate beta modulated ERP
03. Modifying local connectivity
03. Modifying local connectivity