References

BBC+11

Stefan Behnel, Robert Bradshaw, Craig Citro, Lisandro Dalcin, Dag Sverre Seljebotn, and Kurt Smith. Cython: The Best of Both Worlds. Computing in Science & Engineering, 13(2):31–39, March 2011. URL: http://ieeexplore.ieee.org/articleDetails.jsp?arnumber=5582062\&contentType=Journals+\&+Magazines, doi:10.1109/MCSE.2010.118.

BH08

Scott D Brown and Andrew Heathcote. The simplest complete model of choice response time: linear ballistic accumulation. Cognitive psychology, 57(3):153–78, November 2008. URL: http://www.ncbi.nlm.nih.gov/pubmed/18243170, doi:10.1016/j.cogpsych.2007.12.002.

CWC+11

James F Cavanagh, Thomas V Wiecki, Michael X Cohen, Christina M Figueroa, Johan Samanta, Scott J Sherman, and Michael J Frank. Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nature Neuroscience, September 2011. URL: http://www.nature.com/doifinder/10.1038/nn.2925, doi:10.1038/nn.2925.

CDeVrijerS+11

Ivar A H Clemens, Maaike De Vrijer, Luc P J Selen, Jan A M Van Gisbergen, and W Pieter Medendorp. Multisensory processing in spatial orientation: an inverse probabilistic approach. The Journal of neuroscience : the official journal of the Society for Neuroscience, 31(14):5365–77, April 2011. URL: http://www.jneurosci.org/content/31/14/5365.short, doi:10.1523/JNEUROSCI.6472-10.2011.

DBHW11

Chris Donkin, Scott Brown, Andrew Heathcote, and Eric-Jan Wagenmakers. Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? Psychonomic bulletin & review, 18(1):61–9, February 2011. URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3042112\&tool=pmcentrez\&rendertype=abstract, doi:10.3758/s13423-010-0022-4.

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FDB+08

Birte U Forstmann, Gilles Dutilh, Scott Brown, Jane Neumann, D Yves von Cramon, K Richard Ridderinkhof, and Eric-Jan Wagenmakers. Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences of the United States of America, 105(45):17538–42, November 2008. URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2582260\&tool=pmcentrez\&rendertype=abstract http://www.pnas.org/cgi/content/abstract/105/45/17538, doi:10.1073/pnas.0805903105.

GL06

D Gamerman and HF Lopes. Markov chain Monte Carlo: stochastic simulation for Bayesian inference. Chapman \& Hall/CRC, 2006. ISBN 1584885874. URL: http://books.google.com/books?hl=en\&lr=\&id=yPvECi\_L3bwC\&oi=fnd\&pg=PR13\&dq=gamerman+bayesian\&ots=NisYwWffgg\&sig=WI3OIzsaVzc-mRbr\_DceissL7jk.

GCSR03

A Gelman, JB Carlin, HS Stern, and DB Rubin. Bayesian data analysis. Chapman \& Hall/CRC, 2003. URL: http://books.google.com/books?hl=en\&lr=\&id=TNYhnkXQSjAC\&oi=fnd\&pg=PP1\&dq=Gelman+Carlin+Stern+04\&ots=5H4S8DAwH3\&sig=W9fgGzxMiklkMGA2fnwQACTz8BY.

Kru10

J Kruschke. Doing Bayesian data analysis: A tutorial introduction with R and BUGS. Academic Press / Elsevier, 2010. ISBN 9780123814852. URL: http://books.google.com/books?hl=en\&lr=\&id=ZRMJ-CebFm4C\&oi=fnd\&pg=PP2\&dq=kruschke+doing+bayesian+data+analysis\&ots=DsCCPI6uAW\&sig=05YmmOLJ8DbRLwvtXxwWyIg0Eq0.

LaB62

David LaBerge. A recruitment theory of simple behavior. Psychometrika, 27(4):375–396, December 1962. URL: http://www.springerlink.com/index/10.1007/BF02289645, doi:10.1007/BF02289645.

LW13

M. D. Lee and E.-J. Wagenmakers. Bayesian Modeling for Cognitive Science: A Practical Course. Cambridge University Press., 2013.

MW09

D Matzke and EJ Wagenmakers. Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 2009.

NF09

D.J. Daniel J. Navarro and I.G. Ian G. Fuss. Fast and accurate calculations for first-passage times in Wiener diffusion models. Journal of Mathematical Psychology, 53(4):222–230, August 2009. URL: http://linkinghub.elsevier.com/retrieve/pii/S0022249609000200, doi:10.1016/j.jmp.2009.02.003.

NRW11

Hå kan Nilsson, Jörg Rieskamp, and Eric-Jan Wagenmakers. Hierarchical Bayesian parameter estimation for cumulative prospect theory. Journal of Mathematical Psychology, 55(1):84–93, February 2011. URL: http://linkinghub.elsevier.com/retrieve/pii/S0022249610001070, doi:10.1016/j.jmp.2010.08.006.

PHF10

Anand Patil, David Huard, and Christopher J Fonnesbeck. PyMC: Bayesian Stochastic Modelling in Python. Journal of statistical software, 35(4):1–81, July 2010. URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3097064\&tool=pmcentrez\&rendertype=abstract.

Poi06

Dale J. Poirier. The growth of Bayesian methods in statistics and economics since 1970. Bayesian Analysis, 1(4):969–979, December 2006. URL: http://projecteuclid.org/euclid.ba/1340370949.

RPS09

R Ratcliff, MG Philiastides, and P Sajda. Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG. Proceedings of the National Academy of Sciences, 106(16):6539–6544, 2009. URL: http://www.pnas.org/content/106/16/6539.short.

RM08

Roger Ratcliff and Gail McKoon. The diffusion decision model: theory and data for two-choice decision tasks. Neural computation, 20(4):873–922, April 2008. URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2474742\&tool=pmcentrez\&rendertype=abstract, doi:10.1162/neco.2008.12-06-420.

RR98

Roger Ratcliff and J. N. Rouder. Modeling Response Times for Two-Choice Decisions. Psychological Science, 9(5):347–356, September 1998. URL: http://pss.sagepub.com/content/9/5/347.abstract, doi:10.1111/1467-9280.00067.

SLK08

RM Shiffrin, MD Lee, and W Kim. A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cognitive …, 2008. URL: http://onlinelibrary.wiley.com/doi/10.1080/03640210802414826/full.

SR04

Philip L Smith and Roger Ratcliff. Psychology and neurobiology of simple decisions. Trends in neurosciences, 27(3):161–8, March 2004. URL: http://www.ncbi.nlm.nih.gov/pubmed/15036882, doi:10.1016/j.tins.2004.01.006.

SB09

Matthew Stephens and David J Balding. Bayesian statistical methods for genetic association studies. Nature reviews. Genetics, 10(10):681–90, October 2009. URL: http://dx.doi.org/10.1038/nrg2615, doi:10.1038/nrg2615.

TA83

James T. Townsend and F. Gregory Ashby. The stochastic modeling of elementary psychological processes. Cambridge University Press, 1983. ISBN 0521241812. doi:102-212-801.

VT08

Joachim Vandekerckhove and Francis Tuerlinckx. Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40(1):61–72, February 2008. URL: http://brm.psychonomic-journals.org/cgi/doi/10.3758/BRM.40.1.61, doi:10.3758/BRM.40.1.61.

VTL11

Joachim Vandekerckhove, Francis Tuerlinckx, and Michael D Lee. Hierarchical diffusion models for two-choice response times. Psychological methods, 16(1):44–62, March 2011. URL: http://www.ncbi.nlm.nih.gov/pubmed/21299302, doi:10.1037/a0021765.

Vic70

D Vickers. Evidence for an accumulator model of psychophysical discrimination. Ergonomics, 13(1):37–58, January 1970. URL: http://dx.doi.org/10.1080/00140137008931117, doi:10.1080/00140137008931117.

VV07

Andreas Voss and Jochen Voss. Fast-dm: a free program for efficient diffusion model analysis. Behavior research methods, 39(4):767–75, November 2007. URL: http://www.ncbi.nlm.nih.gov/pubmed/18183889.