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Darrell A. Worthy
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2010 – 2019
- 2019
- [c7]Astin Cornwall, Darrell A. Worthy, Hilary Don:
Frequency Effects in Decision-Making are Predicted by Dirichlet Probability Distribution Models. CogSci 2019: 247-253 - [c6]Darrell A. Worthy, Astin Cornwall, Hilary Don:
An Examination of Perseveration Terms in Reinforcement Learning Models. CogSci 2019: 3121 - 2018
- [c5]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 - 2016
- [j3]Kaileigh A. Byrne, Tyler Davis, Darrell A. Worthy
:
Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning. J. Cogn. Neurosci. 28(7): 959-970 (2016) - [j2]Darrell A. Worthy
Neural correlates of state-based decision-making in younger and older adults. NeuroImage 130: 13-23 (2016) - [c4]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 - 2015
- [j1]Marissa A. Gorlick, Darrell A. Worthy
DRD4 Long Allele Carriers Show Heightened Attention to High-priority Items Relative to Low-priority Items. J. Cogn. Neurosci. 27(3): 509-521 (2015) - [c3]Kaileigh A. Byrne, Darrell A. Worthy:
A Computational Modeling Approach to Understanding Gender Differences in the Iowa Gambling Task. CogSci 2015 - 2014
- [c2]Kaileigh A. Byrne, Darrell A. Worthy:
The C957T DRD2 Polymorphism Predicts Rule-Based Category Learning Performance. CogSci 2014 - 2011
- [c1]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
Coauthor Index
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