506 related articles for article (PubMed ID: 23935581)
1. HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python.
Wiecki TV; Sofer I; Frank MJ
Front Neuroinform; 2013; 7():14. PubMed ID: 23935581
[TBL] [Abstract][Full Text] [Related]
2. Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data.
Pedersen ML; Frank MJ
Comput Brain Behav; 2020 Dec; 3(4):458-471. PubMed ID: 35128308
[TBL] [Abstract][Full Text] [Related]
3. Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM.
Fengler A; Bera K; Pedersen ML; Frank MJ
J Cogn Neurosci; 2022 Sep; 34(10):1780-1805. PubMed ID: 35939629
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience.
Fengler A; Govindarajan LN; Chen T; Frank MJ
Elife; 2021 Apr; 10():. PubMed ID: 33821788
[TBL] [Abstract][Full Text] [Related]
6. Motor speed does not impact the drift rate: a computational HDDM approach to differentiate cognitive and motor speed.
Sandry J; Ricker TJ
Cogn Res Princ Implic; 2022 Jul; 7(1):66. PubMed ID: 35867284
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software.
Alexandrowicz RW; Gula B
Front Psychol; 2020; 11():484737. PubMed ID: 33117213
[TBL] [Abstract][Full Text] [Related]
9. Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks.
Chau E; Murray CA; Shams L
PeerJ; 2021; 9():e12273. PubMed ID: 34760356
[TBL] [Abstract][Full Text] [Related]
10. Dissecting the impact of depression on decision-making.
Lawlor VM; Webb CA; Wiecki TV; Frank MJ; Trivedi M; Pizzagalli DA; Dillon DG
Psychol Med; 2020 Jul; 50(10):1613-1622. PubMed ID: 31280757
[TBL] [Abstract][Full Text] [Related]
11. How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.
Nunez MD; Vandekerckhove J; Srinivasan R
J Math Psychol; 2017 Feb; 76(Pt B):117-130. PubMed ID: 28435173
[TBL] [Abstract][Full Text] [Related]
12. Perceptual decision making: drift-diffusion model is equivalent to a Bayesian model.
Bitzer S; Park H; Blankenburg F; Kiebel SJ
Front Hum Neurosci; 2014; 8():102. PubMed ID: 24616689
[TBL] [Abstract][Full Text] [Related]
13. A Model-Based fMRI Analysis with Hierarchical Bayesian Parameter Estimation.
Ahn WY; Krawitz A; Kim W; Busmeyer JR; Brown JW
J Neurosci Psychol Econ; 2011 May; 4(2):95-110. PubMed ID: 23795233
[TBL] [Abstract][Full Text] [Related]
14. Hierarchical Bayesian inference for ion channel screening dose-response data.
Johnstone RH; Bardenet R; Gavaghan DJ; Mirams GR
Wellcome Open Res; 2016; 1():6. PubMed ID: 27918599
[TBL] [Abstract][Full Text] [Related]
15. HMeta-d: hierarchical Bayesian estimation of metacognitive efficiency from confidence ratings.
Fleming SM
Neurosci Conscious; 2017; 2017(1):nix007. PubMed ID: 29877507
[TBL] [Abstract][Full Text] [Related]
16. An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data.
Feltgen Q; Daunizeau J
Front Artif Intell; 2021; 4():531316. PubMed ID: 33898982
[TBL] [Abstract][Full Text] [Related]
17. A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making.
Fard PR; Park H; Warkentin A; Kiebel SJ; Bitzer S
Front Comput Neurosci; 2017; 11():29. PubMed ID: 28553219
[TBL] [Abstract][Full Text] [Related]
18. A flexible framework for simulating and fitting generalized drift-diffusion models.
Shinn M; Lam NH; Murray JD
Elife; 2020 Aug; 9():. PubMed ID: 32749218
[TBL] [Abstract][Full Text] [Related]
19. Bayesian inference with Stan: A tutorial on adding custom distributions.
Annis J; Miller BJ; Palmeri TJ
Behav Res Methods; 2017 Jun; 49(3):863-886. PubMed ID: 27287444
[TBL] [Abstract][Full Text] [Related]
20. Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task.
Dillon DG; Belleau EL; Origlio J; McKee M; Jahan A; Meyer A; Souther MK; Brunner D; Kuhn M; Ang YS; Cusin C; Fava M; Pizzagalli DA
Comput Psychiatr; 2024; 8(1):46-69. PubMed ID: 38774430
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]