Time evolution of the extremely diluted Blume-Emery-Griffiths neural   network
  The time evolution of the extremely diluted Blume-Emery-Griffiths neural network model is studied, and a detailed equilibrium phase diagram is obtained exhibiting pattern retrieval, fluctuation retrieval and self-sustained activity phases. It is shown that saddle-point solutions associated with fluctuation overlaps slow down considerably the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented. 
D. Bolle', D.R.C. Dominguez, R. Erichsen Jr., E. Korutcheva and W. K.   Theumann