The phrase "activation rules" is correct and usable in written English.
It can be used in contexts related to programming, gaming, or any system where specific conditions trigger certain actions or behaviors.
Example: "The activation rules for the new software update must be followed to ensure proper functionality."
Alternatives: "trigger conditions" or "activation criteria".
We think that our PF method would give useful and interesting results to physiologists that aim at inferring the brain's activation rules from neurons' activities.
In detail, the loadNetwork function of BoolNet requires a file containing row-wise logical activation rules of each network node.
Different conclusions might be obtained when using larger networks with more complicated feedback, or when information is available regarding the order of firing of different activation rules.
In the case of the example toy model from Figure 2, asynchronous simulation where activation rules are fired at random did not provide additional information (see Additional file 5).
The dynamical rules of the model remind the threshold activation rules in model neural networks, where contributions of multiple inputs weighted by their connection strength W ij are simply added up and compared with the activation threshold of a node.
If high frequency regular forms are accessed via full-form activation, rule processes might be activated only for low frequency regular forms and not for high-frequency regular forms.
In this aspect, we added a new activation rule to the IC model which is: the actor who is activated in time t cannot activate those actors who have been linked with him/her before the time t.
To explain this activation rule in more detail, we define the following terms: (Pathtime) The path time of each link in the network is the P-slice number in which this link has been created.
In this aspect, we added a new activation rule to the IC model which is as follows: the actor who is activated in time t cannot activate those actors who have been linked with him/her before the time t.
To explain this activation rule in more detail, we define the following terms: (Path-time) The path-time of each link in the network is the P-slice number in which this link has been created.
Now, we can state that actor A cannot activate actor B if the link from B to A has a path-time later than the activation-time of actor A. Using this activation rule, the simulation can be interpreted as an attraction process where actors who are already part of the communities can attract others only if their activity starts after the activator has become active.
