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For the first access pattern, we simulate the scheduling algorithm with comprehensive experiments.
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By assuming three up- or down-regulated expression patterns, we simulated 2000 genes expressed in two treatments.
Next, we simulate synchronization patterns within the neocortical-hippocampal circuit in passive and active states.
In order to study the range of firing patterns accessible with the AdEx, we simulate the injection of a step current.
In order to determine the effect of vaccine efficacy on seasonal patterns, we also simulated the model for similar scenarios when σ = 0.6.
Assuming squares of varying dimensions, we simulate different mobility patterns.
Using a model we simulate leaf assemblage isotope patterns from canopy data binned by elevation.
We simulate two contrasting seasonal patterns (constant and highly seasonal transmission) and two IPT drugs (SP and ASAQ).
Aiming for more realistic evolutionary simulations in terms of gain and loss dynamics, we simulated phyletic patterns with gain and loss rates that were estimated from a real data set of microbial species' phyletic pattern (based on COG gene families; details in Materials and Methods).
We simulated realistic patterns of linkage disequilibrium to mimic two human CEU chromosomal regions using genomeSIMLA (genomeSIM version 2.0.4 software, functionally equivalent to genomeSIMLA 1.0 for LD generation) [ 22].
We simulated demographic patterns using parameters for YRI, CEU, and CHBJPT as described in Grossman et al. (2010) with a data thinning procedure that improves fitting to the 1000 Genomes empirical data (Engelken et al. 2014).
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