Sentence examples for mechanisms for pattern from inspiring English sources

The notion of linear stability of stationary solutions in the interface framework is fleshed out in a series of examples (for spots, rings, stripes and fronts) in Sections 4 and 5, and allows us to understand some of the mechanisms for pattern formation.

We also plan to combine GraTeLPy with a new analytic method, local perturbation analysis (LPA) [ 35, 36], in order to test biochemical mechanisms for pattern formation.

In contrast, longer genes with long introns exhibit delayed expression, which can serve as timing mechanisms for patterning processes.

Physiological patterns observed in the laboratory must be tested under natural field conditions and the physiological mechanisms for patterns observed in the field must be tested in the laboratory.

When the result is transformed back into its original condition, the only light remaining marks the position of the target, or things that looked similar to it, in the original image.Because the transforming and the filtering are done optically, this mechanism for pattern recognition is fast, allowing an image to be tested for the presence of a target in a single step.

Weightless Neural Networks (WNNs) are a powerful mechanism for pattern recognition.

These results imply a dual mechanism for pattern separation in which signals from the entorhinal cortex can be decorrelated both by changes in coincidence patterns in the dentate gyrus and by recruitment of nonoverlapping cell assemblies in CA3.

For studying the pattern formation in predator prey systems, a reaction diffusion model is the most mainstream theoretical model, of which the nonlinear mechanism for pattern self-organization is known as Turing instability.

Our results also illustrate how gradient-regulated Turing systems provide a particularly robust and flexible mechanism for pattern formation.

Leutgeb and colleagues [24] have revealed a dual mechanism for pattern separation in which signals from the entorhinal cortex can be decorrelated both by changes in coincidence patterns and recruitment of non-overlapping cell assemblies in the hippocampus.

Therefore, selecting distinct DGC populations to represent similar but not identical inputs is a mechanism for pattern separation.