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In Figure 3, we present in more detail, the most likely network (i.e. network 1).
Bayesian networks search for the most likely network configuration by drawing edges connecting dependent variables.
After inferring the most likely network architecture underlying a specific neural process, one can compare the parameter estimates obtained from Bayesian model selection for between-group inferences.
Another class of models are those that use dynamic causal modelling (DCM) to test the likelihood of plausible connectivity graphs underlying the MMN, and to infer the coupling parameters of the most likely network.
To this end, we adopt Genetic Algorithm for multiple generations to search for the most likely network rewiring events and collected 50 rewired networks in each generations along with corresponding scores.
SBRA adopted a maximum likelihood approach [ 7] for inferring the most likely network, whereas BVSA implements a model averaging approach which infers 'expected' or average networks based on the posterior probabilities of all possible networks.
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If Apple does add 3G network support for the Europe launch, the most likely networks to carry the iPhone are 3 and T-Mobile.
Another set of genes/proteins is inserted by the knowledgedatabase to construct the most likely networks; the symbols are white.
The most likely networks are constructed by the knowledge database, taken all available data into account of human, mouse, rat and in vitro model experiments.
"And they're most likely to network".
As the conjunction analysis highlights regions that have a fundamental functional connectivity with the DLPFC, we would propose that the networks identified here most likely represent networks critical for the functions subserved by the 2 identified DLPFC subregions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com