Russell J. Boag
Title
Cited by
Cited by
Year
Cognitive control and capacity for prospective memory in complex dynamic environments.
RJ Boag, L Strickland, A Heathcote, A Neal, S Loft
Journal of Experimental Psychology: General 148 (12), 2181, 2019
122019
Mutual benefits: combining reinforcement learning with sequential sampling models
S Miletić, RJ Boag, BU Forstmann
Neuropsychologia 136, 107261, 2020
102020
Combining error-driven models of associative learning with evidence accumulation models of decision-making
DK Sewell, HK Jach, RJ Boag, CA Van Heer
Psychonomic bulletin & review 26 (3), 868-893, 2019
92019
Strategic attention and decision control support prospective memory in a complex dual-task environment
RJ Boag, L Strickland, S Loft, A Heathcote
Cognition, 2019
72019
Examining physiological responses across different driving maneuvers during an on-road driving task: a pilot study comparing older and younger drivers
S Koppel, J Kuo, J Berecki-Gisolf, R Boag, YX Hue, JL Charlton
Traffic injury prevention 16 (3), 225-233, 2015
42015
All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al.(2019)
MD Wilson, RJ Boag, L Strickland
Computational Brain & Behavior 2 (3-4), 239-241, 2019
12019
A new model of decision processing in instrumental learning tasks
S Miletic, RJ Boag, AC Trutti, BU Forstmann, A Heathcote
bioRxiv, 2020
2020
Understanding subprocesses of working memory through the lens of model-based cognitive neuroscience
AC Trutti, S Verschooren, BU Forstmann, RJ Boag
Current Opinion in Behavioral Sciences 38, 57-65, 2020
2020
Commentary: Dopamine-Dependent Loss Aversion during Effort-Based Decision-Making
RJ Boag
Frontiers in Neuroscience 14, 2020
2020
Modelling how humans use decision aids in simulated air traffic control
L Strickland, V Bowden, R Boag, A Heathcote, S Loft
Australasian Mathematical Psychology Conference, 2020
2020
A Computational Theory of Cognitive Control and Attentional Capacity in Complex Multiple-Task Environments
RJ Boag
University of Western Australia, 2019
2019
Mutual benefits: Combining reinforcement learning with sequential sampling models
RJ Boag, S Miletić, V Mathiopoulou, BU Forstmann
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Articles 1–12