def METHOD_NAME(self):
    """Return the fluorescence traces and calculated tuning curves
    for the selected neuron as well as the population average
    Cx is the time (overall or window) as x axis
    C is indexed for selected neuron and Cpop is the population avg
    tune is a similar list to C
    """
    if self.tune is not None:
        self.selectedTune = self.tune[0][self.selectedNeuron]
        self.tuned = [self.selectedTune, self.tune[1]]
    else:
        self.tuned = None
    if self.frame_num > self.window:
        # self.Cx = self.Cx[-self.window:]
        self.C = self.C[:, -len(self.Cx) :]
        self.Cpop = self.Cpop[-len(self.Cx) :]
    return (
        self.Cx,
        self.C[self.selectedNeuron, :],
        self.Cpop,
        self.tuned,
        np.size(self.C, 0),
    )