This issue will be addressed in future work, where the influence of the spike generation mechanisms and its interplay with synaptic kinetics will be assessed by using computational models of increasing realism.
The developments are partly motivated by computational challenges arising in fitting models of increasing heterogeneity to increasingly large datasets.
This may give rise to models of increased complexity, followed by model refinement and (re- simplification, to re- simplification levels of confidence, eventoally moving towareachodels withea useful balance of simplicity/complexity and trequired
Therefore, our measurement of a leftward shift of peak migration speed can be explained by a model of increased integrin activation at acidic pH, which results in increased cell-substratum adhesiveness and consequently less ligand required for efficient migration.
In practical drug design, it should be beneficial to use a hierarchical approach in which simple but fast methods are first used for preliminary screening of real or virtual compound libraries and for suggesting potentially useful drug candidates to make/screen, followed by further evaluations by models with increasing levels of sophistication.
This δ18ONseawater value is significantly higher than that of −6.4‰ predicted by models considering an increasing δ18Oseawater through time2.
We have established an in vivo mouse model of MPSI by intraperitoneal administration of increasing doses of LPS on the day of zygote formation (GD 0.5) and found developmental programming to be significantly altered.
In the past decade, the traditional view of cancers as a homogeneous collection of malignant cells is being replaced by a model of ever increasing complexity suggesting that cancers are complex tissues composed of multiple cell types.
The most parsimonious (one-class) model was initially fitted, followed by successive models with increasing numbers of classes to determine the number of latent classes that best fit the data.
The value of K may be selected by fitting the model for a succession of increasing values and selecting K when the parameter estimates appear to stabilize (Royle, 2004a).
