def METHOD_NAME(self):
    """
    simulates erfc neuron for different parameter sets and compares
    activity to theoretical value.
    """
    for sigma in self.sigma:
        for theta in self.theta:
            self.build_and_connect_nodes(sigma, theta)
            nest.Simulate(self.T)
            mean_activity = get_mean_activity(self.detector, self.T)
            mean_activity_theory = activation_function_theory(sigma, theta)
            delta = np.max([2e-1 * mean_activity_theory * (1.0 - mean_activity_theory), 1e-2])
            self.assertAlmostEqual(mean_activity, mean_activity_theory, delta=delta)