- PointNetwork.plot_traces(bin_size=100, subset=None, rolling_window=None, group=False, stimuli=True, ax=None, backend='auto', **kwargs)¶
Plot mean firing rate.
bin_size (int) – Size [ms] of the bins over which to average spike frequency.
subset (list-like) – Subset of IDs to plot. You can also use this to determine the order of appearance.
rolling_window (int) – Average firing rates over a given rolling window.
group (bool | array) – Set to True to group traces by label, showing mean firing rate and standard error as envelope. Pass an array of labels for each neuron to group by arbitrary labels.
ax (matplotlib axis | plotly figure, optional) – Axis/figure to plot onto.
stimuli (bool) – Whether to plot stimuli.
backend ("auto" | "plotly" | "matplotlib") – Which backend to use. If “auto” will use plotly in Jupyter environments and matplotlib elsewhere.