129 related articles for article (PubMed ID: 32852976)
1. Urgency, leakage, and the relative nature of information processing in decision-making.
Trueblood JS; Heathcote A; Evans NJ; Holmes WR
Psychol Rev; 2021 Jan; 128(1):160-186. PubMed ID: 32852976
[TBL] [Abstract][Full Text] [Related]
2. Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans.
Yau Y; Hinault T; Taylor M; Cisek P; Fellows LK; Dagher A
J Neurosci; 2021 Jun; 41(26):5711-5722. PubMed ID: 34035140
[TBL] [Abstract][Full Text] [Related]
3. Modeling evidence accumulation decision processes using integral equations: Urgency-gating and collapsing boundaries.
Smith PL; Ratcliff R
Psychol Rev; 2022 Mar; 129(2):235-267. PubMed ID: 34410765
[TBL] [Abstract][Full Text] [Related]
4. A parameter recovery assessment of time-variant models of decision-making.
Evans NJ; Trueblood JS; Holmes WR
Behav Res Methods; 2020 Feb; 52(1):193-206. PubMed ID: 30924107
[TBL] [Abstract][Full Text] [Related]
5. The importance of urgency in decision making based on dynamic information.
Ferrucci L; Genovesio A; Marcos E
PLoS Comput Biol; 2021 Oct; 17(10):e1009455. PubMed ID: 34606494
[TBL] [Abstract][Full Text] [Related]
6. Human optional stopping in a heteroscedastic world.
Tickle H; Tsetsos K; Speekenbrink M; Summerfield C
Psychol Rev; 2023 Jan; 130(1):1-22. PubMed ID: 34570524
[TBL] [Abstract][Full Text] [Related]
7. Decision making by urgency gating: theory and experimental support.
Thura D; Beauregard-Racine J; Fradet CW; Cisek P
J Neurophysiol; 2012 Dec; 108(11):2912-30. PubMed ID: 22993260
[TBL] [Abstract][Full Text] [Related]
8. Discriminating evidence accumulation from urgency signals in speeded decision making.
Hawkins GE; Wagenmakers EJ; Ratcliff R; Brown SD
J Neurophysiol; 2015 Jul; 114(1):40-7. PubMed ID: 25904706
[TBL] [Abstract][Full Text] [Related]
9. Think fast! The implications of emphasizing urgency in decision-making.
Evans NJ
Cognition; 2021 Sep; 214():104704. PubMed ID: 33975126
[TBL] [Abstract][Full Text] [Related]
10. Racing against the clock: Evidence-based versus time-based decisions.
Hawkins GE; Heathcote A
Psychol Rev; 2021 Mar; 128(2):222-263. PubMed ID: 33600202
[TBL] [Abstract][Full Text] [Related]
11. A model of dynamic, within-trial conflict resolution for decision making.
Weichart ER; Turner BM; Sederberg PB
Psychol Rev; 2020 Oct; 127(5):749-777. PubMed ID: 32212764
[TBL] [Abstract][Full Text] [Related]
12. A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model.
Holmes WR; Trueblood JS; Heathcote A
Cogn Psychol; 2016 Mar; 85():1-29. PubMed ID: 26760448
[TBL] [Abstract][Full Text] [Related]
13. Information overload for (bounded) rational agents.
Pothos EM; Lewandowsky S; Basieva I; Barque-Duran A; Tapper K; Khrennikov A
Proc Biol Sci; 2021 Feb; 288(1944):20202957. PubMed ID: 33529555
[TBL] [Abstract][Full Text] [Related]
14. Parsing information flow in speeded cognitive tasks: The role of g in perception and decision time.
Willoughby EA; Lee JJ
J Exp Psychol Learn Mem Cogn; 2021 Nov; 47(11):1792-1809. PubMed ID: 34351200
[TBL] [Abstract][Full Text] [Related]
15. The Leaky Integrating Threshold and its impact on evidence accumulation models of choice response time (RT).
Verdonck S; Loossens T; Philiastides MG
Psychol Rev; 2021 Mar; 128(2):203-221. PubMed ID: 32915011
[TBL] [Abstract][Full Text] [Related]
16. Bayesian analysis of the piecewise diffusion decision model.
Holmes WR; Trueblood JS
Behav Res Methods; 2018 Apr; 50(2):730-743. PubMed ID: 28597236
[TBL] [Abstract][Full Text] [Related]
17. Global gain modulation generates time-dependent urgency during perceptual choice in humans.
Murphy PR; Boonstra E; Nieuwenhuis S
Nat Commun; 2016 Nov; 7():13526. PubMed ID: 27882927
[TBL] [Abstract][Full Text] [Related]
18. Point estimate observers: A new class of models for perceptual decision making.
Schütt HH; Yoo AH; Calder-Travis J; Ma WJ
Psychol Rev; 2023 Mar; 130(2):334-367. PubMed ID: 36809000
[TBL] [Abstract][Full Text] [Related]
19. Dopaminergic Modulation of Human Intertemporal Choice: A Diffusion Model Analysis Using the D2-Receptor Antagonist Haloperidol.
Wagner B; Clos M; Sommer T; Peters J
J Neurosci; 2020 Oct; 40(41):7936-7948. PubMed ID: 32948675
[TBL] [Abstract][Full Text] [Related]
20. The relative merit of empirical priors in non-identifiable and sloppy models: Applications to models of learning and decision-making : Empirical priors.
Spektor MS; Kellen D
Psychon Bull Rev; 2018 Dec; 25(6):2047-2068. PubMed ID: 29589289
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
