210 related articles for article (PubMed ID: 25491372)
1. A Bayesian hierarchical diffusion model decomposition of performance in Approach-Avoidance Tasks.
Krypotos AM; Beckers T; Kindt M; Wagenmakers EJ
Cogn Emot; 2015; 29(8):1424-44. PubMed ID: 25491372
[TBL] [Abstract][Full Text] [Related]
2. Individual Differences in the Neural Dynamics of Response Inhibition.
Molloy MF; Bahg G; Lu ZL; Turner BM
J Cogn Neurosci; 2019 Dec; 31(12):1976-1996. PubMed ID: 31397614
[TBL] [Abstract][Full Text] [Related]
3. A psychometrics of individual differences in experimental tasks.
Rouder JN; Haaf JM
Psychon Bull Rev; 2019 Apr; 26(2):452-467. PubMed ID: 30911907
[TBL] [Abstract][Full Text] [Related]
4. Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers.
Steingroever H; Pachur T; Šmíra M; Lee MD
Psychon Bull Rev; 2018 Jun; 25(3):951-970. PubMed ID: 28685273
[TBL] [Abstract][Full Text] [Related]
5. Applying hierarchical bayesian modeling to experimental psychopathology data: An introduction and tutorial.
Tso IF; Taylor SF; Johnson TD
J Abnorm Psychol; 2021 Nov; 130(8):923-936. PubMed ID: 34843294
[TBL] [Abstract][Full Text] [Related]
6. Moving beyond qualitative evaluations of Bayesian models of cognition.
Hemmer P; Tauber S; Steyvers M
Psychon Bull Rev; 2015 Jun; 22(3):614-28. PubMed ID: 25233880
[TBL] [Abstract][Full Text] [Related]
7. Bayesian outcome-based strategy classification.
Lee MD
Behav Res Methods; 2016 Mar; 48(1):29-41. PubMed ID: 25697091
[TBL] [Abstract][Full Text] [Related]
8. TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling.
Heck DW; Arnold NR; Arnold D
Behav Res Methods; 2018 Feb; 50(1):264-284. PubMed ID: 28374146
[TBL] [Abstract][Full Text] [Related]
9. Hierarchical Bayesian continuous time dynamic modeling.
Driver CC; Voelkle MC
Psychol Methods; 2018 Dec; 23(4):774-799. PubMed ID: 29595295
[TBL] [Abstract][Full Text] [Related]
10. Some do and some don't? Accounting for variability of individual difference structures.
Haaf JM; Rouder JN
Psychon Bull Rev; 2019 Jun; 26(3):772-789. PubMed ID: 30251148
[TBL] [Abstract][Full Text] [Related]
11. The Neural Basis of Approach-Avoidance Conflict: A Model Based Analysis.
Zorowitz S; Rockhill AP; Ellard KK; Link KE; Herrington T; Pizzagalli DA; Widge AS; Deckersbach T; Dougherty DD
eNeuro; 2019; 6(4):. PubMed ID: 31346001
[TBL] [Abstract][Full Text] [Related]
12. Integrated Bayesian models of learning and decision making for saccadic eye movements.
Brodersen KH; Penny WD; Harrison LM; Daunizeau J; Ruff CC; Duzel E; Friston KJ; Stephan KE
Neural Netw; 2008 Nov; 21(9):1247-60. PubMed ID: 18835129
[TBL] [Abstract][Full Text] [Related]
13. Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.
Sükei E; Norbury A; Perez-Rodriguez MM; Olmos PM; Artés A
JMIR Mhealth Uhealth; 2021 Mar; 9(3):e24465. PubMed ID: 33749612
[TBL] [Abstract][Full Text] [Related]
14. Modeling visual search using three-parameter probability functions in a hierarchical Bayesian framework.
Lin YS; Heinke D; Humphreys GW
Atten Percept Psychophys; 2015 Apr; 77(3):985-1010. PubMed ID: 25678272
[TBL] [Abstract][Full Text] [Related]
15. Dynamic models of choice.
Heathcote A; Lin YS; Reynolds A; Strickland L; Gretton M; Matzke D
Behav Res Methods; 2019 Apr; 51(2):961-985. PubMed ID: 29959755
[TBL] [Abstract][Full Text] [Related]
16. On the psychometric evaluation of cognitive control tasks: An Investigation with the Dual Mechanisms of Cognitive Control (DMCC) battery.
Snijder JP; Tang R; Bugg JM; Conway ARA; Braver TS
Behav Res Methods; 2024 Mar; 56(3):1604-1639. PubMed ID: 37040066
[TBL] [Abstract][Full Text] [Related]
17. Testing the validity of conflict drift-diffusion models for use in estimating cognitive processes: A parameter-recovery study.
White CN; Servant M; Logan GD
Psychon Bull Rev; 2018 Feb; 25(1):286-301. PubMed ID: 28357629
[TBL] [Abstract][Full Text] [Related]
18. A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors.
Evans NJ; Servant M
Psychol Rev; 2020 Jan; 127(1):114-135. PubMed ID: 31599635
[TBL] [Abstract][Full Text] [Related]
19. Approach and avoidance patterns in reward learning across domains: An initial examination of the Social Iowa Gambling Task.
Case JAC; Olino TM
Behav Res Ther; 2020 Feb; 125():103547. PubMed ID: 31954996
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]