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In Fig. 8 an example simulation with the model depicted in Fig. 7 clearly shows how a limit cycle pattern emerges, with period 18.5.
With the S and SCE weights, the network can generate both rostral and pocket rhythms, selected by the external input strengths ({ i^{mathrm {ext}}_{i} }) as shown in Fig. 5; see Fig. 6 for an example simulation with the S class.
We will now consider an example simulation, with a single concentration field and a single growth cone.
Although not demonstrated in this example, simulation with random unexplained variability or a variance-covariance matrix requires adaptation of the code provided in the example script for coding a population model in R (supplementary material available online).
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Neuronal firing during the first 2 seconds of example simulations with h = 1 / N (a), h = 0.1 / N (b) and h = 0.01 / N (c).
Below, we first introduce our method on a simple example simulation trajectory with a continuous time Markov chain semantics.
We illustrated these field-measurable quantities with an example simulation.
For example, the simulation with a certain set of empirical parameters after power system faults may draw an optimistic conclusion, while probably drawing a pessimistic one with another set.
Supplementary Movie 1 Example of simulation with reference parameter settings (Table 1 ).
Supplementary Text 1 Example of simulation with realistic parameter values and dimensions.
Supplementary Movie 2 Example of simulation with high chemotaxis strength (χ =7500) and low haptokinesis strength (η =150).
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