Pad a nitime.TimeSeries class instance with n_zeros before and after the
    data

    Parameters
    ----------
    ts : a nitime.TimeSeries class instance

def zero_pad(ts, n_zeros):
    """
    Pad a nitime.TimeSeries class instance with n_zeros before and after the
    data

    Parameters
    ----------
    ts : a nitime.TimeSeries class instance
    
    """
    
    zeros_shape = ts.shape[:-1] + (n_zeros,)
    zzs = np.zeros(zeros_shape)
    # Concatenate along the time-dimension:
    new_data = np.concatenate((zzs, ts.data, zzs), axis=-1)

    return nts.TimeSeries(new_data, sampling_rate=ts.sampling_rate)