code: def inferThalamus(t, l6Input, ffInput):
    
    print("\n-----------")
    t.reset()
    t.deInactivateCells(l6Input)
    ffOutput = t.computeFeedForwardActivity(ffInput)
    # print("L6 input:", l6Input)
    # print("Active TRN cells: ", t.activeTRNCellIndices)
    # print("Burst ready relay cells: ", t.burstReadyCellIndices)
    return ffOutput
docs: Compute the effect of this feed forward input given the specific L6 input.
  
    :param t: instance of Thalamus
    :param l6Input:
    :param ffInput: a numpy array of 0's and 1's
    :return: