The aim of this study was to examine the effect of
dispersive tissue properties on the volume-conducted voltage waveforms
and volume of tissue activated during deep brain stimulation.
Inhomogeneous finite-element models ...
Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details. They enable to zoom-in and zoom-out spatio-temporal datasets, thus ...
Within this paper, Sensorworld is proposed as a platform for the evaluation and comparison of resource-bounded intelligence, and its effectiveness is proven through the implementation of a series of simulations on ...
Wireless Sensor Networks(WSNs) are primarily regarded as data gathering entities that route data to a central server for subsequent processing. However, as WSN technologies mature and their prevalence increases, it is ...
A new model of deep brain stimulation is presented that integrates volume conduction effects with a neural model of pathological beta-band oscillations in the cortico-basal ganglia network. The model is used to test the ...
Multiple spatial and temporal granularities are essential to extract significant knowledge from datasets at different levels of detail: they enable to zoom-in and zoom-out a dataset, enhancing the data modelling flexibility ...