Figure 3. Driving the network from Figure 1 with two different types of input leads to distinct operational modes.
If input to the network (top) is tonic, the recurrent weights cause the network to produce a particular activity sequence (bottom), as in Figure 1, with the magnitude of the input controlling the speed of the sequence. Alternatively, if the input is strongly time-dependent, then the network dynamics are enslaved to the input pattern. In this case each unit receives a unique pulsed input, with the input to unit four highlighted for illustration.