We pursued our aim of characterizing dynamical properties of coupled cell systems that  depend only on the topology of the associated coupled cell network and are independent of the cell dynamics. Those included the patterns of synchrony that can occur for feed-forward and autoregulation feed-forward networks. This kind of networks are common in many real applications, namely in neuroscience models.  Pursuing the aim of studying the existence of heteroclinic phenomena in the context of coupled cell systems (without symmetry), it was present a method of combining coupled cell systems, via the join operation, to get dynamics supporting robust simple heteroclinic networks given by the product of robust simple heteroclinic networks (cycles).