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Items: 1 to 20 of 97

1.

Hierarchical decision-making produces persistent differences in learning performance.

Knudsen T, Marchiori D, Warglien M.

Sci Rep. 2018 Oct 25;8(1):15782. doi: 10.1038/s41598-018-34128-w.

2.

Evidence Brief: The Effectiveness Of Mandatory Computer-Based Trainings On Government Ethics, Workplace Harassment, Or Privacy And Information Security-Related Topics.

Peterson K, McCleery E.

VA Evidence Synthesis Program Evidence Briefs [Internet]. Washington (DC): Department of Veterans Affairs (US); 2011-.
2014 May.

3.

Hierarchical decision processes that operate over distinct timescales underlie choice and changes in strategy.

Purcell BA, Kiani R.

Proc Natl Acad Sci U S A. 2016 Aug 2;113(31):E4531-40. doi: 10.1073/pnas.1524685113. Epub 2016 Jul 18.

4.

Speed/accuracy trade-off between the habitual and the goal-directed processes.

Keramati M, Dezfouli A, Piray P.

PLoS Comput Biol. 2011 May;7(5):e1002055. doi: 10.1371/journal.pcbi.1002055. Epub 2011 May 26.

5.

Learning to make collective decisions: the impact of confidence escalation.

Mahmoodi A, Bang D, Ahmadabadi MN, Bahrami B.

PLoS One. 2013 Dec 6;8(12):e81195. doi: 10.1371/journal.pone.0081195. eCollection 2013.

6.

The Computational Development of Reinforcement Learning during Adolescence.

Palminteri S, Kilford EJ, Coricelli G, Blakemore SJ.

PLoS Comput Biol. 2016 Jun 20;12(6):e1004953. doi: 10.1371/journal.pcbi.1004953. eCollection 2016 Jun.

7.

Inferring on the intentions of others by hierarchical Bayesian learning.

Diaconescu AO, Mathys C, Weber LA, Daunizeau J, Kasper L, Lomakina EI, Fehr E, Stephan KE.

PLoS Comput Biol. 2014 Sep 4;10(9):e1003810. doi: 10.1371/journal.pcbi.1003810. eCollection 2014 Sep. Erratum in: PLoS Comput Biol. 2014 Oct;10(10):e1003952.

8.

Neural signatures of experience-based improvements in deterministic decision-making.

Tremel JJ, Laurent PA, Wolk DA, Wheeler ME, Fiez JA.

Behav Brain Res. 2016 Dec 15;315:51-65. doi: 10.1016/j.bbr.2016.08.023. Epub 2016 Aug 11.

9.

Multiobjective decision making policies and coordination mechanisms in hierarchical organizations: results of an agent-based simulation.

Leitner S, Wall F.

ScientificWorldJournal. 2014;2014:875146. doi: 10.1155/2014/875146. Epub 2014 Jul 24.

10.

The Neural Correlates of Hierarchical Predictions for Perceptual Decisions.

Weilnhammer VA, Stuke H, Sterzer P, Schmack K.

J Neurosci. 2018 May 23;38(21):5008-5021. doi: 10.1523/JNEUROSCI.2901-17.2018. Epub 2018 Apr 30.

11.

Modulation of human risky decision making by flunitrazepam.

Lane SD, Cherek DR, Nouvion SO.

Psychopharmacology (Berl). 2008 Feb;196(2):177-88. Epub 2007 Oct 5.

PMID:
17917718
12.

Dynamic combination of sensory and reward information under time pressure.

Farashahi S, Ting CC, Kao CH, Wu SW, Soltani A.

PLoS Comput Biol. 2018 Mar 27;14(3):e1006070. doi: 10.1371/journal.pcbi.1006070. eCollection 2018 Mar.

13.

[Social decision-making and theoretical neuroscience: prospects for human sciences and computational psychiatry].

Nakahara H, Suzuki S.

Brain Nerve. 2013 Aug;65(8):973-82. Review. Japanese.

PMID:
23917500
14.

Suboptimal Criterion Learning in Static and Dynamic Environments.

Norton EH, Fleming SM, Daw ND, Landy MS.

PLoS Comput Biol. 2017 Jan 3;13(1):e1005304. doi: 10.1371/journal.pcbi.1005304. eCollection 2017 Jan.

15.

How pupil responses track value-based decision-making during and after reinforcement learning.

Van Slooten JC, Jahfari S, Knapen T, Theeuwes J.

PLoS Comput Biol. 2018 Nov 30;14(11):e1006632. doi: 10.1371/journal.pcbi.1006632. eCollection 2018 Nov. Erratum in: PLoS Comput Biol. 2019 May 6;15(5):e1007031.

16.

The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.

Sinclair P, Kable A, Levett-Jones T.

JBI Database System Rev Implement Rep. 2015 Jan;13(1):52-64. doi: 10.11124/jbisrir-2015-1919.

PMID:
26447007
17.

Structure learning in human sequential decision-making.

Acuña DE, Schrater P.

PLoS Comput Biol. 2010 Dec 2;6(12):e1001003. doi: 10.1371/journal.pcbi.1001003.

18.

Spike-based decision learning of Nash equilibria in two-player games.

Friedrich J, Senn W.

PLoS Comput Biol. 2012;8(9):e1002691. doi: 10.1371/journal.pcbi.1002691. Epub 2012 Sep 27.

19.

Motor Cost Influences Perceptual Decisions.

Marcos E, Cos I, Girard B, Verschure PF.

PLoS One. 2015 Dec 16;10(12):e0144841. doi: 10.1371/journal.pone.0144841. eCollection 2015.

20.

The role of cognitive abilities in decisions from experience: Age differences emerge as a function of choice set size.

Frey R, Mata R, Hertwig R.

Cognition. 2015 Sep;142:60-80. doi: 10.1016/j.cognition.2015.05.004. Epub 2015 May 25.

PMID:
26022497

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