Luke Strickland
Luke Strickland
Verified email at uwa.edu.au - Homepage
TitleCited byYear
Dynamic models of choice
A Heathcote, YS Lin, A Reynolds, L Strickland, M Gretton, D Matzke
Behavior research methods 51 (2), 961-985, 2019
402019
Accumulating evidence about what prospective memory costs actually reveal.
L Strickland, A Heathcote, RW Remington, S Loft
Journal of Experimental Psychology: Learning, Memory, and Cognition 43 (10 …, 2017
302017
Racing to remember: A theory of decision control in event-based prospective memory.
L Strickland, S Loft, RW Remington, A Heathcote
Psychological Review 125 (6), 851, 2018
252018
Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task
L Strickland, D Elliott, MD Wilson, S Loft, A Neal, A Heathcote
Journal of Experimental Psychology: Applied, 0
6*
Cognitive Control and Capacity for Prospective Memory in Complex Dynamic Environments
R Boag, L Strickland, A Heathcote, A Neal, S Loft
Journal of Experimental Psychology: General, 0
5*
Strategic attention and decision control support prospective memory in a complex dual-task environment
R Boag, L Strickland, S Loft, A Heathcote
Cognition, 0
2*
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
2019
Prospective memory performance in simulated air traffic control: robust to interruptions but impaired by retention interval
MD Wilson, L Strickland, S Farrell, TAW Visser, S Loft
Human factors, 0018720819875888, 2019
2019
Cognitive Control and Capacity for Prospective Memory in Simulated Air Traffic Control
R Boag, L Strickland, A Heathcote, A Neal, S Loft
Journal of Experimental Psychology, ., 2019
2019
Evidence Accumulation Modeling of Event-Based Prospective Memory
L Strickland, S Loft, A Heathcote
Current Issues in Memory: Prospective Memory, 2019
2019
The Race to Remember: A Computational Model of Event-Based Prospective Memory
L Strickland
2018
Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods
YS Lin, L Strickland
The Quantitative Methods for Psychology, 0
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Articles 1–12