Figure 3.

Dynamics between available energy and total activity of the network. Arrows shows how the system will likely move at each point (the gradient of the system). As we increase the energy requirement r_e, we move from a state of noisy independent points to a more classic limit cycle. We also observe notable cases: (A) when r_e = 0γ there is no consumption of energy at all, (B,C) middle ranges, and (D) when r_e is high enough, the system reaches the 0 activity level thus breaking the cycle's dynamics.