def METHOD_NAME(self, resolution):
    r"""
    Simulates a single neuron with OU noise conductances.
    Parameters
    ----------
    resolution : float
        Resolution of the NEST simulation
    Returns
    -------
    dict
        State of the multimeter, which is connected to the neuron.
    tuple
        Tuple with the NEST id of the simulated neuron
    """
    seed = np.random.randint(0, 2**32 - 1)
    print("seed: {}".format(seed))
    nest.SetKernelStatus({"resolution": resolution, "rng_seed": seed + 1})
    input_path = os.path.join(os.path.realpath(os.path.join(os.path.dirname(__file__),
                                                            os.pardir, os.pardir, "models", "neurons", "hh_cond_exp_destexhe.nestml")))
    target_path = "target"
    logging_level = "DEBUG"
    module_name = "nestmlmodule"
    suffix = "_nestml"
    generate_nest_target(input_path,
                         target_path=target_path,
                         logging_level=logging_level,
                         module_name=module_name,
                         suffix=suffix)
    nest.set_verbosity("M_ALL")
    nest.Install("nestmlmodule")
    neuron = nest.Create("hh_cond_exp_destexhe_nestml")
    multi = nest.Create("multimeter", params={"record_from": self.record_from, "interval": resolution})
    nest.Connect(multi, neuron)
    nest.Simulate(500000)
    return multi.get("events"), neuron