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The neural correlates of endogenously cued covert visuospatial attentional shifting in the cue-target interval: an electroencephalographic studyUnknown Date (has links)
This study investigated electroencephalographic differences related to cue (central left- or right-directed arrows) in a covert endogenous visual spatial attention task patterned after that of Hopf and Mangun (2000). This was done with the intent of defining the timing of components in relation to cognitive processes within the cue-target interval. Multiple techniques were employed to do this. Event-related potentials (ERPs) were examined using Independent Component Analysis. This revealed a significant N1, between 100:200 ms post-cue, greater contralateral to the cue. Difference wave ERPs, left minus right cue-locked data, divulged significant early directing attention negativity (EDAN) at 200:400 ms post-cue in the right posterior which reversed polarity in the left posterior. Temporal spectral evolution (TSE) analysis of the alpha band revealed three stages, (1) high bilateral alpha precue to 120 ms post-cue, (2) an event related desynchronization (ERD) from approximately 120 ms: 500 ms post-cue, and (3) an event related synchronization (ERS) rebound, 500: 900 ms post-cue, where alpha amplitude, a measure of activity, was highest contralateral to the ignored hemifield and lower contralateral to the attended hemifield. Using a combination of all of these components and scientific literature in this field, it is possible to plot out the time course of the cognitive events and their neural correlates. / by Edward Justin Modestino. / Vita. / Thesis (Ph.D.)--Florida Atlantic University, 2009. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.
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<strong>Cognitive Effort-Based Decision-Making & Task Preferences </strong>Alyssa Amanda Randez (16398240) 19 June 2023 (has links)
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<p>Individual differences in cognitive effort-based decision-making can reveal the variety of decision strategies used in action valuations. For example, factors such as how challenging an action is or how much reward can be gained are often considered when weighing how valuable an action is. Experiment 1 considers task preferences offered at different demand levels (i.e., the degree of challenge) to determine whether decision-making strategies are related primarily to 1) demand levels, 2) individual capability, or 3) task components. Results suggest that participants’ decisions were primarily driven by task options rather than their performance. Experiment 2 then compares task preferences in different incentive-related conditions. While the majority of decisions were in the predicted direction (favoring lower demand levels and higher monetary amounts), there were individual differences that suggested valuations of both task options as well as incentive conditions. The results of these experiments suggest individuals use various decision strategies involving factors that may have been overlooked in past research. These findings challenge the assumption that task preferences are primarily related to how challenging an action is and instead suggest that preferences may be highly susceptible to experimental design factors as well as factors intrinsic to the individual.</p>
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