Darrell A. Worthy

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 6

Top Topics

Computational Modeling

Learning Models

Top Venues

J. Cogn. Neurosci.

Publications

Astin Cornwall, Darrell A. Worthy, Hilary Don
Frequency Effects in Decision-Making are Predicted by Dirichlet Probability Distribution Models. CogSci (2019)
Darrell A. Worthy, Astin Cornwall, Hilary Don
An Examination of Perseveration Terms in Reinforcement Learning Models. CogSci (2019)
Darrell A. Worthy, A. Ross Otto, Astin Cornwall, Hilary Don, Tyler Davis
A Case of Divergent Predictions Made by Delta and Decay Rule Learning Models. CogSci (2018)
Bo Pang, Kaileigh A. Byrne, Darrell A. Worthy
Working Memory Affects Attention to Loss Value and Loss Frequency in Decision-Making under Uncertainty. CogSci (2016)
Kaileigh A. Byrne, Tyler Davis, Darrell A. Worthy
Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning. J. Cogn. Neurosci. 28 (7) (2016)
Darrell A. Worthy, Tyler Davis, Marissa A. Gorlick, Jessica A. Cooper, Akram Bakkour, Jeanette A. Mumford, Russell A. Poldrack, W. Todd Maddox
Neural correlates of state-based decision-making in younger and older adults. NeuroImage 130 (2016)
Kaileigh A. Byrne, Darrell A. Worthy
A Computational Modeling Approach to Understanding Gender Differences in the Iowa Gambling Task. CogSci (2015)
Marissa A. Gorlick, Darrell A. Worthy, Valerie S. Knopik, John E. McGeary, Christopher G. Beevers, W. Todd Maddox
Long Allele Carriers Show Heightened Attention to High-priority Items Relative to Low-priority Items. J. Cogn. Neurosci. 27 (3) (2015)
Kaileigh A. Byrne, Darrell A. Worthy
The C957T DRD2 Polymorphism Predicts Rule-Based Category Learning Performance. CogSci (2014)
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
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci (2011)