Russell J Boag
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Explore the profile of Russell J Boag including associated specialties, affiliations and a list of published articles.
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83
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Recent Articles
1.
Stevenson N, Innes R, Boag R, Miletic S, Isherwood S, Trutti A, et al.
Comput Brain Behav
. 2024 Mar;
7(1):1-22.
PMID: 38425991
Decision-making behavior is often understood using the framework of evidence accumulation models (EAMs). Nowadays, EAMs are applied to various domains of decision-making with the underlying assumption that the latent cognitive...
2.
Strickland L, Boag R, Heathcote A, Bowden V, Loft S
J Exp Psychol Appl
. 2023 Mar;
29(4):849-868.
PMID: 36877467
We applied a computational model to examine the extent to which participants used an automated decision aid as an advisor, as compared to a more autonomous trigger of responding, at...
3.
Boag R, Strickland L, Heathcote A, Neal A, Palada H, Loft S
Trends Cogn Sci
. 2022 Dec;
27(2):175-188.
PMID: 36473764
Evidence accumulation models (EAMs) are a class of computational cognitive model used to understand the latent cognitive processes that underlie human decisions and response times (RTs). They have seen widespread...
4.
Strickland L, Heathcote A, Bowden V, Boag R, Wilson M, Khan S, et al.
Psychol Sci
. 2021 Sep;
32(11):1768-1781.
PMID: 34570615
Humans increasingly use automated decision aids. However, environmental uncertainty means that automated advice can be incorrect, creating the potential for humans to act on incorrect advice or to disregard correct...
5.
Boag R, Stevenson N, van Dooren R, Trutti A, Sjoerds Z, Forstmann B
Brain Sci
. 2021 Jun;
11(6).
PMID: 34071635
Working memory (WM)-based decision making depends on a number of cognitive control processes that control the flow of information into and out of WM and ensure that only relevant information...
6.
Miletic S, Boag R, Trutti A, Stevenson N, Forstmann B, Heathcote A
Elife
. 2021 Jan;
10.
PMID: 33501916
Learning and decision-making are interactive processes, yet cognitive modeling of error-driven learning and decision-making have largely evolved separately. Recently, evidence accumulation models (EAMs) of decision-making and reinforcement learning (RL) models...
7.
8.
Miletic S, Boag R, Forstmann B
Neuropsychologia
. 2019 Nov;
136:107261.
PMID: 31733237
Reinforcement learning models of error-driven learning and sequential-sampling models of decision making have provided significant insight into the neural basis of a variety of cognitive processes. Until recently, model-based cognitive...
9.
Boag R, Strickland L, Loft S, Heathcote A
Cognition
. 2019 Jun;
191:103974.
PMID: 31234118
Human performance in complex multiple-task environments depends critically on the interplay between cognitive control and cognitive capacity. In this paper we propose a tractable computational model of how cognitive control...
10.
Sewell D, Jach H, Boag R, Van Heer C
Psychon Bull Rev
. 2019 Feb;
26(3):868-893.
PMID: 30719625
As people learn a new skill, performance changes along two fundamental dimensions: Responses become progressively faster and more accurate. In cognitive psychology, these facets of improvement have typically been addressed...