Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. - A. Ross Otto; W. Bradley Knox; Bradley C. Love; Samuel Gershman; Yael Niv; Darrell A. Worthy; W. Todd Maddox; Jared M. Hotaling; Jerome R. Busemeyer; Richard M. Shiffrin (CogSci, 2011)

The C957T DRD2 Polymorphism Predicts Rule-Based Category Learning Performance. - Kaileigh A. Byrne; Darrell A. Worthy (CogSci, 2014)

A Computational Modeling Approach to Understanding Gender Differences in the Iowa Gambling Task. - Kaileigh A. Byrne; Darrell A. Worthy (CogSci, 2015)

DRD4 Long Allele Carriers Show Heightened Attention to High-priority Items Relative to Low-priority Items. - Marissa A. Gorlick; Darrell A. Worthy; Valerie S. Knopik; John E. McGeary; Christopher G. Beevers; W. Todd Maddox (J. Cogn. Neurosci., 2015)

Working Memory Affects Attention to Loss Value and Loss Frequency in Decision-Making under Uncertainty. - Bo Pang; Kaileigh A. Byrne; Darrell A. Worthy (CogSci, 2016)

Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning. - Kaileigh A. Byrne; Tyler Davis; Darrell A. Worthy (J. Cogn. Neurosci., 2016)

Neural correlates of state-based decision-making in younger and older adults. - Darrell A. Worthy; Tyler Davis; Marissa A. Gorlick; Jessica A. Cooper; Akram Bakkour; Jeanette A. Mumford; Russell A. Poldrack; W. Todd Maddox (NeuroImage, 2016)

A Case of Divergent Predictions Made by Delta and Decay Rule Learning Models. - Darrell A. Worthy; A. Ross Otto; Astin Cornwall; Hilary Don; Tyler Davis (CogSci, 2018)

Frequency Effects in Decision-Making are Predicted by Dirichlet Probability Distribution Models. - Astin Cornwall; Darrell A. Worthy; Hilary Don (CogSci, 2019)

An Examination of Perseveration Terms in Reinforcement Learning Models. - Darrell A. Worthy; Astin Cornwall; Hilary Don (CogSci, 2019)