BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 25538642)

  • 1. Time-varying boundaries for diffusion models of decision making and response time.
    Zhang S; Lee MD; Vandekerckhove J; Maris G; Wagenmakers EJ
    Front Psychol; 2014; 5():1364. PubMed ID: 25538642
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making.
    Hawkins GE; Forstmann BU; Wagenmakers EJ; Ratcliff R; Brown SD
    J Neurosci; 2015 Feb; 35(6):2476-84. PubMed ID: 25673842
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Degenerate boundaries for multiple-alternative decisions.
    Baker SA; Griffith T; Lepora NF
    Nat Commun; 2022 Aug; 13(1):5066. PubMed ID: 36038538
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sequential sampling models with variable boundaries and non-normal noise: A comparison of six models.
    Voss A; Lerche V; Mertens U; Voss J
    Psychon Bull Rev; 2019 Jun; 26(3):813-832. PubMed ID: 30652240
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Time-varying decision boundaries: insights from optimality analysis.
    Malhotra G; Leslie DS; Ludwig CJH; Bogacz R
    Psychon Bull Rev; 2018 Jun; 25(3):971-996. PubMed ID: 28730465
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effects of evidence bounds on decision-making: theoretical and empirical developments.
    Zhang J
    Front Psychol; 2012; 3():263. PubMed ID: 22870070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparing fixed and collapsing boundary versions of the diffusion model.
    Voskuilen C; Ratcliff R; Smith PL
    J Math Psychol; 2016 Aug; 73():59-79. PubMed ID: 28579640
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Some task demands induce collapsing bounds: Evidence from a behavioral analysis.
    Palestro JJ; Weichart E; Sederberg PB; Turner BM
    Psychon Bull Rev; 2018 Aug; 25(4):1225-1248. PubMed ID: 29845433
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A parallel accumulator model accounts for decision randomness when deciding on risky prospects with different expected value.
    Howlett JR; Paulus MP
    PLoS One; 2020; 15(7):e0233761. PubMed ID: 32702026
    [TBL] [Abstract][Full Text] [Related]  

  • 12. "Reliable organisms from unreliable components" revisited: the linear drift, linear infinitesimal variance model of decision making.
    Smith PL
    Psychon Bull Rev; 2023 Aug; 30(4):1323-1359. PubMed ID: 36720804
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making.
    Tillman G; Van Zandt T; Logan GD
    Psychon Bull Rev; 2020 Oct; 27(5):911-936. PubMed ID: 32424622
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-attribute, multi-alternative models of choice: Choice, reaction time, and process tracing.
    Cohen AL; Kang N; Leise TL
    Cogn Psychol; 2017 Nov; 98():45-72. PubMed ID: 28843070
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The drift diffusion model as the choice rule in reinforcement learning.
    Pedersen ML; Frank MJ; Biele G
    Psychon Bull Rev; 2017 Aug; 24(4):1234-1251. PubMed ID: 27966103
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of sequential sampling models for two-choice reaction time.
    Ratcliff R; Smith PL
    Psychol Rev; 2004 Apr; 111(2):333-67. PubMed ID: 15065913
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fast and accurate Monte Carlo sampling of first-passage times from Wiener diffusion models.
    Drugowitsch J
    Sci Rep; 2016 Feb; 6():20490. PubMed ID: 26864391
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Scale (in)variance in a unified diffusion model of decision making and timing.
    Simen P; Vlasov K; Papadakis S
    Psychol Rev; 2016 Mar; 123(2):151-81. PubMed ID: 26461957
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modeling response signal and response time data.
    Ratcliff R
    Cogn Psychol; 2006 Nov; 53(3):195-237. PubMed ID: 16890214
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models.
    Murrow M; Holmes WR
    Behav Res Methods; 2024 Mar; 56(3):2636-2656. PubMed ID: 37550470
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.