Discrepancies of this type generally become more prevalent for shorter loop lengths, where the attractor periods are short enough that nodes do not have time to rise to their saturation definitely values. Previous studies have emphasized the need for long time delays in regulatory oscillators. In the Elowitz-Leibler model of the repressilator (which is a frustration oscillator), protein creation and degradation equations were added to the system in order to capture the oscillatory dynamics.2 From our present perspective, the protein dynamics simply serves to lengthen the delay time for propagation of a pulse around the loop enough to allow elements to vary with sufficient amplitude. The explicit representation of protein variables is not necessary if the loop is made longer. Norrell et al.

studied a different mechanism for lengthening the loop propagation times: inserting explicit delays into the differential equations.11 Using a slightly different form for fA and fR, they studied frustration oscillations and pulse transmission oscillations, but did not address the distinct possibility of dip transmission oscillations. Finally, it is worth emphasizing that the distinction between pulse transmission and dip transmission is not simply a matter of symmetry; that is, the dip transmission oscillations are not just pulse transmission oscillations with the on and off states exchanged. If that were the case, we would have a dip that grows in width as it traverses the positive loop, but Figure Figure55 clearly shows that it is pulses (not dips) that grow in the dip transmission oscillator.

The on-off symmetry is broken by the Hill function forms for fA and fR, but this is merely a quantitative effect that determines the parameter domains where oscillation is possible. The more important symmetry breaking in the figure-8 system is the logic function for the two-input element A. If the default state (with both inputs off) were taken to yield A=1 and the activating input were dominant, we could obtain oscillations in cases where dips grow rather than pulses. The language becomes a bit cumbersome: it might be best to refer to these cases as ��anti-pulse transmission�� and ��anti-dip transmission�� oscillations. Figure Figure88 shows an anti-pulse transmission oscillator, where the ODE system is the same as above except that Eq.

7 is replaced by A�B=(1?fr(Bn;?KBn)fa(Cm;?KCm))?A,? (12) and parameter values are given in Figure Figure88. Figure 8 An attractor showing anti-pulse transmission oscillations. Dacomitinib The parameter values are n=9,?m=2,?��=5,?KBn=0.55,?KCm=0.5,KAB=0.52,?KAC=0.55. Top: The thick line shows A; the thin line Bn; and the dashed line … CONCLUSIONS This study serves to illustrate a sense in which ABN modeling can be used to identify distinct classes of oscillatory solutions of ODE systems of a type often used to model activating and repressing regulatory interactions.