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  • RESEARCH 4 BUSINESS 2016, Ljubljana, 5 and 6 of May 2016

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    Ernst, T., Chang, L., Leonido-Yee, M., and Speck, O generic viagra buy online india. Decision-making in a risk-taking task. Neuropsychopharmacology 27, 722–731.

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    Advanced Methods and Applications to Driving 43 Figure 5.1 generic viagra buy online india. Comparison of general linear model (GLM) and independent component analysis (ICA. Among the data-driven approaches applied to fMRI data, we and others (Biswal & Ulmer, 1995. For a simulated driving task, the stimuli are overlapping and continuous, and it is difficult to generate a well-defined set of stimuli.

    Calhoun, Adali, Pearlson, & Pekar, 2002c. These time-dependent data are typically reduced, using knowledge of the timing of events in the task paradigm, to graphical depictions of where in the In addition to univariate model-based approaches, a variety of multivariate data-driven approaches have been used to reveal patterns in fMRI data. Calhoun, fMRI. Data-Driven Approach Challenges in fMRI Data Analysis The BOLD technique yields signals that are sensitized to hemodynamic sequelae of brain activity.

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    That is, the further increase in these areas during driving appears to be an attentional modulated increase generic viagra buy online india (Gandhi, Heeger, & Boynton, 1997). Presumably due to the small amount of motor movement involved in controlling the driving task , primary motor contributions were low in amplitude. We identified similar areas, also transiently changing between epochs, in a simple visual task.

    Similar areas have been detected in a meta-analysis of transient activation during block transitions (Konishi, Donaldson, & Buckner, 1998) and may be involved in switching tasks in general. The red component was mostly in the cerebellum in areas implicated in motor preparation (Thach, Goodkin, & Keating, 1989). The transient visual areas (green) demonstrate an increase at the transitions between epochs.

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    (2002). N., Salenius, S., Hari, R., & Lemon, R.