Luke Strickland
Luke Strickland
Verified email at - Homepage
Cited by
Cited by
Dynamic models of choice
A Heathcote, YS Lin, A Reynolds, L Strickland, M Gretton, D Matzke
Behavior research methods 51 (2), 961-985, 2019
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
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
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
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
Strategic attention and decision control support prospective memory in a complex dual-task environment
R Boag, L Strickland, S Loft, A Heathcote
Cognition, 0
Investigating the effects of ongoing-task bias on prospective memory
L Strickland, S Loft, A Heathcote
Quarterly journal of experimental psychology 73 (9), 1495-1513, 2020
Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods
YS Lin, L Strickland
The Quantitative Methods for Psychology, 0
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 62 (8), 1249-1264, 2020
FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment
MD Wilson, L Strickland, T Ballard
Journal of Open Source Software 5 (51), 2340, 2020
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), 239-241, 2019
Understanding fatigue in a naval submarine: Applying biomathematical models and workload measurement in an intensive longitudinal design
MD Wilson, T Ballard, L Strickland, AA Boeing, B Cham, MA Griffin, ...
Applied Ergonomics 94, 103412, 2021
Stopping timed actions.
D Matzke, LJG Strickland, C Sripada, AS Weigard, R Puri, J He, R Hirst, ...
PsyArXiv, 2021
Target learning in event-based prospective memory.
L Strickland, A Heathcote, MS Humphreys, S Loft
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse
L Strickland, A Heathcote, V Bowden, R Boag, M Wilson, S Khan, S Loft
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
Author Note
RJ Boag, L Strickland, S Loft, A Heathcote
Cognition, 2019
Evidence Accumulation Modeling of Event-Based Prospective Memory
L Strickland, S Loft, A Heathcote
Current Issues in Memory: Prospective Memory, 2019
The Race to Remember: A Computational Model of Event-Based Prospective Memory
L Strickland
Depression and risk of unintentional injury in rural communities a longitudinal analysis of the Australian rural mental health study
L Fragar, T Lower, A Booth, T Handley, E Holliday, KJ Inder, BJ Kelly, ...
Molecular Diversity Preservation International, 2017
The system can't perform the operation now. Try again later.
Articles 1–20