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"Local Field Potentials (LFPs) are easy to access electrical signals of the brain that represent the summation in the extracellular space, of currents originated within the neurons. As such, LFPs could contain infor mati...

Quality models for software architecture are taxonomies of quality attributes, commonly used to specify and evaluate nonfunctionalrequirements. Most quality models offer a two-level approach, distinguishing externally ob...

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a ...

Scientific collaboration are becoming interdisciplinary, and scientists are working in informal collaboration to solve complex problems that require multiple types of large resources. An option is a computational grid. A...

The metric spaces model formalizes the similarity search concept in nontraditional databases. The goal is to build an index designed to save distance computations when answering similarity queries later. A large class of...

The algorithmical architecture and structure is presented for the parallelization of image similarity analysis, based on obtaining multiple digital signatures for each image, in which each "signature" is composed by the ...

Artificial Neural Networks belong to the sub-symbolic branch of Artificial Intelligence since they allow to find the solution of a problem without the need of knowing the algorithm necessary to solve it. This turns them ...

In this work, we present a new lossy video compression scheme, based on the use of the 3D Fast Wavelet Transform (3D-FWT). This encoder achieves high compression ratio and a quality excellent from the point of medical vi...

The prospect of modifying neural activity in a principled way, could facilitate the understanding of brain functions and the development of medical treatments. To predict the dynamics that underlie the different brain ac...