The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks

Neural Computation - Tập 20 Số 4 - Trang 873-922 - 2008
Roger Ratcliff1, Gail McKoon1
1Department of Psychology, Ohio State University, Columbus, OH 43210 U.S.A.

Tóm tắt

The diffusion decision model allows detailed explanations of behavior in two-choice discrimination tasks. In this article, the model is reviewed to show how it translates behavioral data—accuracy, mean response times, and response time distributions—into components of cognitive processing. Three experiments are used to illustrate experimental manipulations of three components: stimulus difficulty affects the quality of information on which a decision is based; instructions emphasizing either speed or accuracy affect the criterial amounts of information that a subject requires before initiating a response; and the relative proportions of the two stimuli affect biases in drift rate and starting point. The experiments also illustrate the strong constraints that ensure the model is empirically testable and potentially falsifiable. The broad range of applications of the model is also reviewed, including research in the domains of aging and neurophysiology.

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Tài liệu tham khảo

10.1006/jmps.1998.1249

10.1126/science.7134968

10.1037/0033-295X.113.4.700

10.1523/JNEUROSCI.12-12-04745.1992

10.1016/S0093-934X(02)00521-7

10.1037/0033-295X.100.3.432

10.1016/S0022-2496(03)00003-8

10.1016/S1364-6613(00)01567-9

10.1037/0096-3445.136.3.389

10.1126/science.274.5286.427

10.1038/nature02966

10.1523/JNEUROSCI.4684-04.2005

10.1007/BF02289645

10.1007/BF02291481

10.1038/nn1722

10.1093/cercor/bhg097

10.1038/nn836

10.1037/h0027366

10.1523/JNEUROSCI.08-06-02201.1988

10.1037/0033-295X.104.2.266

10.1037/0033-295X.89.5.573

10.1167/5.5.1

10.1523/JNEUROSCI.1655-06.2006

10.1111/j.2044-8317.1968.tb00407.x

10.1037/h0033871

10.1037/0033-295X.85.2.59

10.1037/0033-2909.86.3.446

10.1037/0033-295X.88.6.552

10.1037/0033-295X.92.2.212

10.1037/0033-295X.95.2.238

10.3758/BF03196283

10.1016/j.cogpsych.2005.10.002

10.1152/jn.01049.2002

10.1037/0033-295X.111.1.159

10.1152/jn.00393.2006

10.1016/j.bandc.2004.02.051

10.1111/1467-9280.00067

10.1037/0096-1523.26.1.127

10.1037/0033-295X.111.2.333

10.1037/0882-7974.19.2.278

10.1037/0882-7974.16.2.323

10.3758/BF03194580

10.1016/j.jml.2003.11.002

10.3758/BF03193973

10.1037/0882-7974.22.1.56

10.3758/BF03196302

10.1037/0033-295X.106.2.261

10.1037/0096-3445.133.2.261

10.1037/0033-295X.108.2.370

10.1523/JNEUROSCI.22-21-09475.2002

10.1523/JNEUROSCI.12-06-02331.1992

10.1016/S0959-4388(03)00039-4

10.1152/jn.2001.86.4.1916

10.1016/j.visres.2004.01.002

10.1037/0278-7393.32.1.101

10.1007/BF02289729

10.1038/nrn1666

10.3758/BF03212837

10.1126/science.134.3473.168

10.1037/0882-7974.18.3.415

10.1037/0033-295X.91.1.68

10.1037/0033-295X.108.3.550

10.1080/00140137008931117

10.1016/0001-6918(71)90018-7

10.3758/BF03196893

10.1016/S0896-6273(02)01092-9

10.1523/JNEUROSCI.3733-05.2006

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Neural Computation

Tập 20 Số 4

873-922

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