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Local timescale factor is a different approach for controlling how fast the equations in the non-linear loop will be solved.
The option of a local timescale factor allows different time scales to be applied in different regions of the simulation domain.
Requirements are that the probabilities in each line have to sum up to 1.0, and in the case of Hill's method, at least one local timescale (weight of edge) must be different from 0. The last condition does not apply to the Monte Carlo method.
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A major finding of this study is the identification of two network architectures, with either a gradient of local connectivity or a gradient of long-distance connection length, that give rise to activity patterns with localized timescales.
Although it is likely the case that finer timescales reflect local dynamics, in this case reflecting neural populations, the more coarse timescales would reflect longer-range interactions with other populations.
The time-dependent reconnection process is characterized by the following important parameters: A timescale of the local resistivity, a length scale of the local resistivity, a local Reynolds number determined for the maximum resistivity and the length scale of the diffusion region.
Despite ample evidence on such timescales for local adaptations of populations at specific sites, the long-term impacts of such changes on evolutionary significant units in response to past climatic change have been little documented.
The action is a success locally (within the short timescale of intervention) but its sustainability at local level, and even more so at national level, is a failure (in terms of the much longer timescale of the health system).
On short timescales (months), as expected, the greatest sensitivities are to local disturbances, but as the timescales extend back to a decade and longer, the region of influence expands to occupy much of the Atlantic basin and significant areas of the global ocean, although the influence of any specific point or small area tends to be quite weak.
We consider a simplified model of a neuronal network where the local dynamics presents a bursting timescale, and the connection architecture displays the scale-free property (power-law distribution of connectivity).
Although this linker exhibits increased local motions on the ps timescale, the dominating contribution to its relaxation is the global tumbling motion with an estimated correlation time of 12.3 ns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com