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Full-Text Articles in Clinical Psychology
Exercise Engagement And Longitudinal Change In Alzheimer's Disease Biomarkers, Regional Brain Structure, And Cognitive Functioning, Marta Stojanovic
Exercise Engagement And Longitudinal Change In Alzheimer's Disease Biomarkers, Regional Brain Structure, And Cognitive Functioning, Marta Stojanovic
Arts & Sciences Electronic Theses and Dissertations
No abstract provided.
Is There A Higher-Order Mechanism That Explains Performance Across Prediction Tasks?, Michelle Lisa Eisenberg
Is There A Higher-Order Mechanism That Explains Performance Across Prediction Tasks?, Michelle Lisa Eisenberg
Arts & Sciences Electronic Theses and Dissertations
People constantly make predictions about what will happen in the near future. People anticipate how other people around them will act, what other people will say, and what actions will help them achieve the greatest rewards. Because all of these behaviors are typically called prediction, it is easy to make the assumption that performance across all of these types of tasks is driven by the same underlying mechanism. However, there has been little investigation into whether the mechanisms underlying prediction are the same across multiple task modalities. Therefore, in the current study, 226 participants completed four types of tasks that …
Breaking Apart The Reinforcement Learning Deficit In Schizophrenia, Adam Culbreth
Breaking Apart The Reinforcement Learning Deficit In Schizophrenia, Adam Culbreth
Arts & Sciences Electronic Theses and Dissertations
Reinforcement learning deficits have long been associated with schizophrenia. However, tasks traditionally used to assess these deficits often rely on multiple processing streams leaving the etiology of these task deficits unclear. In the current study, we borrowed a recent framework from computational neuroscience, which separates reinforcement-learning into two distinct systems, model-based and model-free. Under this framework, the model-free system learns about the value of actions in the immediate context, while the model-based system learns about the value of actions in both immediate and subsequent states that may be encountered as a result of their actions. Using a decision task that …