def METHOD_NAME(
    color_input_layer, color,
    word_input_layer, word,
    n_time_steps=1,
):
    """get a stroop stimulus
    Parameters
    ----------
    color/word/task_input_layer: pnl.TransferMechanism
        the input layer PNL object
    color/word/task : str
        an element in COLORS/COLORS/TASKS
    n_time_steps: int
        the stimuli sequence length
    SOA: int
        stimulus onset asynchrony; see compute_delays()
    demand: positive float
        the level of activity for the active task unit
    Returns
    -------
    dict, as requested by PNL composition
        a representation of the input sitmuli sequence
    """
    # set up the stimuli
    bias = [4, 4]
    color_stimulus = np.tile(get_color_rep(color), (n_time_steps, 1))
    word_stimulus = np.tile(get_word_rep(word), (n_time_steps, 1))
    #
    color_stimulus += bias
    word_stimulus += bias
    # form the input dict
    input_dict = {
        color_input_layer: color_stimulus,
        word_input_layer: word_stimulus,
    }
    return input_dict