2 resultados para Flow of vehicular traffic
em Digital Commons @ DU | University of Denver Research
Resumo:
This capstone examines the civil liberties of the modern terrorist and explicates the right to freedom of speech for terrorist organizations and their use of the internet. Terrorist organizations use the internet to promote ideas, recruit members, organize the flow of information, and coordinate actions. During the war on terror the US Patriot Act became law allowing for U.S. government censorship and surveillance of internet traffic and many believe these acts are a threat to civil liberties. Terrorist organizations have the right to express their views, however unpopular, and censoring or restricting web sites diminishes civil liberties for all, which democracies and liberal societies are founded upon.
Resumo:
Electroencephalographic (EEG) signals of the human brains represent electrical activities for a number of channels recorded over a the scalp. The main purpose of this thesis is to investigate the interactions and causality of different parts of a brain using EEG signals recorded during a performance subjects of verbal fluency tasks. Subjects who have Parkinson's Disease (PD) have difficulties with mental tasks, such as switching between one behavior task and another. The behavior tasks include phonemic fluency, semantic fluency, category semantic fluency and reading fluency. This method uses verbal generation skills, activating different Broca's areas of the Brodmann's areas (BA44 and BA45). Advanced signal processing techniques are used in order to determine the activated frequency bands in the granger causality for verbal fluency tasks. The graph learning technique for channel strength is used to characterize the complex graph of Granger causality. Also, the support vector machine (SVM) method is used for training a classifier between two subjects with PD and two healthy controls. Neural data from the study was recorded at the Colorado Neurological Institute (CNI). The study reveals significant difference between PD subjects and healthy controls in terms of brain connectivities in the Broca's Area BA44 and BA45 corresponding to EEG electrodes. The results in this thesis also demonstrate the possibility to classify based on the flow of information and causality in the brain of verbal fluency tasks. These methods have the potential to be applied in the future to identify pathological information flow and causality of neurological diseases.