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In the first part, I shall present a new way to construct highly stiff stable schemes. Traditional time discretization schemes are usually based on Taylor expansions at $t_{n+\beta}$ with $\beta\in [0...
Unlike in humans, when computer “brains” evolve, they get smaller and smaller. This is because the components that perform calculations and consolidate stored information work more efficiently when th...
Gene regulatory networks capture the interactions between genes and other cell substances, resulting from the fundamental biological process of transcription and translation. In some applications, the...
Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. First, a new scheme for accele...
Compared with the relatively stable structural networks, thefunctional networks, defined by the temporal correlation between remoteneurophysiological events, are highly complex and variable. How...

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