Index of papers in April 2015 that mention
  • time steps
Jorge G. T. Zañudo, Réka Albert
General asynchronous updating scheme
In the general asynchronous scheme, the state of the nodes is updated at discrete time steps starting from an initial condition at t: 0.
General asynchronous updating scheme
At every time step, one of the variables is chosen randomly (uniformly) and is updated using its respective function and the state of its regulators at the previous time step
Intervention target validation
To validate an intervention target, we fix the node states prescribed by the intervention, choose a random (uniformly chosen) initial condition, and evolve the system using the general asynchronous updating scheme for a sufficiently large number of time steps so that the system reaches an attractor.
Intervention target validation
We find that, for our test cases, temporal evolution for 10,000 time steps ensures reaching an attractor from any initial condition considered with stable motif control intervention or without an intervention; to be safe, we choose to evolve for 50,000 time steps in all cases.
Intervention target validation
it is transient), that is, we fix the prescribed node states for a large number of time steps, then stop fixing these states and wait for another large number of time steps for the system to reach an attractor.
time steps is mentioned in 8 sentences in this paper.
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