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Full-Text Articles in Psychology
Improving Measurements Of Similarity Judgments With Machine-Learning Algorithms, Jeffrey R. Stevens, Alexis Polzkill Saltzman, Tanner Rasmussen, Leen-Kiat Soh
Improving Measurements Of Similarity Judgments With Machine-Learning Algorithms, Jeffrey R. Stevens, Alexis Polzkill Saltzman, Tanner Rasmussen, Leen-Kiat Soh
Jeffrey Stevens Publications
Intertemporal choices involve assessing options with different reward amounts available at different time delays. The similarity approach to intertemporal choice focuses on judging how similar amounts and delays are. Yet we do not fully understand the cognitive process of how these judgments are made. Here, we use machine-learning algorithms to predict similarity judgments to (1) investigate which algorithms best predict these judgments, (2) assess which predictors are most useful in predicting participants’ judgments, and (3) determine the minimum number of judgments required to accurately predict future judgments. We applied eight algorithms to similarity judgments for reward amount and time delay …
Rule-Based Categorization Deficits In Focal Basal Ganglia Lesion And Parkinson’S Disease Patients, Shawn W. Ell, Andrea Weinstein, Richard Ivry
Rule-Based Categorization Deficits In Focal Basal Ganglia Lesion And Parkinson’S Disease Patients, Shawn W. Ell, Andrea Weinstein, Richard Ivry
Psychology Faculty Scholarship
Patients with basal ganglia (BG) pathology are consistently found to be impaired on rule-based category learning tasks in which learning is thought to depend upon the use of an explicit, hypothesis-guided strategy. The factors that influence this impairment remain unclear. Moreover, it remains unknown if the impairments observed in patients with degenerative disorders such as Parkinson’s disease (PD) are also observed in those with focal BG lesions. In the present study, we tested patients with either focal BG lesions or PD on two categorization tasks that varied in terms of their demands on selective attention and working memory. Individuals with …