A Sequential Theory of Psychological Discrimination
Abstract
A theory of discrimination which assumes that subjects compare psychological values evoked by a stimulus to a subjective referent is proposed. Momentary differences between psychological values for the stimulus and the referent are accumulated over time until one or the other of two response thresholds is first exceeded. The theory is analyzed as a random walk bounded between two absorbing barriers. A general solution to response conditioned expected response times is computed and the important role played by the moment generating function (mgf) for increments to the random walk is examined. From considerations of the mgf it is shown that unlike other random walk models [Stone, 1960; Laming, 1968] the present theory does not imply that response conditioned mean correct and error times must be equal. For two fixed stimuli and a fixed referent it is shown that by controlling values of response thresholds, subjects can produce Receiver Operating Characteristics similar or identical to those predicted by Signal Detection Theory, High Threshold Theory, or Low Threshold Theory.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Many models proposed to explain the coordination of reaction time and choice accuracy in 2-choice tasks share a common feature: a termination bound is applied to some form of evidence representation, the decision variable.
“Many models are proposed to explain the coordination of RT and choice accuracy in 2-choice tasks 4,18,25–27. These models share a common feature: a termination bound is applied to some form of evidence representation, the decision variable.”
From Decision-making with multiple alternatives (2008) · cites this paper as [4]
Cites
An introduction to probability theory and its applications
(1958) · Journal of the Franklin Institute · doi:10.1016/0016-0032(58)90688-4 · Cited by 29,620 · see citing works
(1966) · Medical Entomology and Zoology · Cited by 10,293 · see citing works
Signal detection theory and psychophysics
Ingleby, D. (1967) · Journal of Sound and Vibration · doi:10.1016/0022-460x(67)90197-6 · Cited by 8,616 · see citing works
Information theory and statistics
(1959) · Journal of the Franklin Institute · doi:10.1016/0016-0032(59)90368-0 · Cited by 7,318 · see citing works
A law of comparative judgment.
Thurstone, L. (1994) · Psychological Review · doi:10.1037/h0070288 · Cited by 5,077 · see citing works
<i>The Theory of Stochastic Processes</i>
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324 · see citing works
Parducci, A., & Helson, H. (1965) · The American Journal of Psychology · doi:10.2307/1421107 · Cited by 2,493 · see citing works
Information Theory and Statistics.
Dwass, M., & Kullback, S. (1960) · American Mathematical Monthly · doi:10.2307/2309734 · Cited by 1,576 · see citing works
Kornblum, S. (1973) · Academic Press eBooks · Cited by 1,424 · see citing works
Decision Processes In Perception.
Swets, J. A., Jr. Tanner Wilson, P., & Birdsall, T. G. (1961) · Psychological Review · doi:10.1037/h0040547 · Cited by 1,328 · see citing works
Information theory of choice-reaction times
Laming, D. (1968) · Medical Entomology and Zoology · Cited by 952 · see citing works
Models for choice-reaction time
Stone, M. (1960) · Psychometrika · doi:10.1007/bf02289729 · Cited by 696 · see citing works
An Introduction to Probability Theory and Its Applications, Vol. 2
Grenander, U., & Feller, W. (1967) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1401805 · Cited by 602 · see citing works
Neural Theories of Simple Visual Discriminations*†
Blackwell, H. R. (1963) · Journal of the Optical Society of America · doi:10.1364/josa.53.000129 · Cited by 303 · see citing works
A Threshold Theory for Simple Detection Experiments.
Luce, R. D. (1963) · Psychological Review · doi:10.1037/h0039723 · Cited by 300 · see citing works
The relative judgment theory of two choice response time
Link, S. W. (1975) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(75)90053-x · Cited by 251 · see citing works
Self-citationThe Theory of Stochastic Processes.
Griffiths, J. D., Cox, D., & Miller, H. D. (1967) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2985780 · Cited by 208 · see citing works
SOME ALTERNATIVE STOCHASTIC MODELS OF CHOICE1
Audley, R., & Pike, A. (1965) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1965.tb00342.x · Cited by 147 · see citing works
Estes, W. K., & WESSEL, D. L. (1966) · Perception & Psychophysics · doi:10.3758/bf03207411 · Cited by 69 · see citing works
長谷川, 文. (1966) · 日本物理學會誌 · Cited by 68 · see citing works
LATENCY AND RELATIVE FREQUENCY OF RESPONSE IN PSYCHOPHYSICAL DISCRIMINATION
Pike, A. R. (1968) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1968.tb00407.x · Cited by 67 · see citing works
The latency operating characteristic: I. Effects of stimulus probability on choice reaction time.
Lappin, J. S., & Disch, K. (1972) · Journal of Experimental Psychology · doi:10.1037/h0032360 · Cited by 66 · see citing works
A theory of visual movement perception.
Kinchla, R. A., & Allan, L. G. (1969) · Psychological Review · doi:10.1037/h0028114 · Cited by 62 · see citing works
Estes, W. K., & WESSEL, D. L. (1966) · Perception & Psychophysics · doi:10.3758/bf03215808 · Cited by 46 · see citing works
A Generalization of Wald's Identity with Applications to Random Walks
Miller, H. D. (1961) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177705060 · Cited by 40 · see citing works
Implications of latency data for threshold and nonthreshold models of signal detection
Thomas, E. A. C., & Myers, J. L. (1972) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(72)90018-1 · Cited by 37 · see citing works
Embedding submartingales in wiener processes with drift, with applications to sequential analysis
Hall, W. J. (1969) · Journal of Applied Probability · doi:10.2307/3212107 · Cited by 25 · see citing works
Embedding submartingales in wiener processes with drift, with applications to sequential analysis
Hall, W. J. (1969) · Journal of Applied Probability · doi:10.1017/s0021900200026668 · Cited by 22 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ratcliff, R. (1978) · Psychological Review · doi:10.1037/0033-295x.85.2.59 · Cited by 4,513 · see citing works
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764 · see citing works
Pragmatics of measuring recognition memory: Applications to dementia and amnesia.
Snodgrass, J. G., & Corwin, J. (1988) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.117.1.34 · Cited by 3,093 · see citing works
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Ratcliff, R., & McKoon, G. (2008) · Neural Computation · doi:10.1162/neco.2008.12-06-420 · Cited by 3,059 · see citing works
The time course of perceptual choice: The leaky, competing accumulator model.
Usher, M., & McClelland, J. L. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.550 · Cited by 2,152 · see citing works
Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment.
Busemeyer, J., & Townsend, J. (1993) · Psychology Review · doi:10.1037/0033-295x.100.3.432 · Cited by 2,000 · see citing works
Bogacz, R., Brown, E., Moehlis, J., Holmes, P. J., & Cohen, J. D. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.700 · Cited by 1,845 · see citing works
Diffusion decision model: Current issues and history
Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.01.007 · Cited by 1,630 · see citing works
“Current diffusion models are the culmination of 50 years of theoretical and empirical research [2,8–11], which has identified the key features of experimental data that a model must explain and the key properties by which a model can do so.”
BackgroundModeling Response Times for Two-Choice Decisions
Ratcliff, R., & Rouder, J. N. (1998) · Psychological Science · doi:10.1111/1467-9280.00067 · Cited by 1,478 · see citing works
A Comparison of Sequential Sampling Models for Two-Choice Reaction Time.
Ratcliff, R., & Smith, P. L. (2004) · Psychological Review · doi:10.1037/0033-295x.111.2.333 · Cited by 1,227 · see citing works
Judgments of frequency and recognition memory in a multiple-trace memory model.
Hintzman, D. L. (1988) · Psychological Review · doi:10.1037/0033-295x.95.4.528 · Cited by 1,128 · see citing works
The simplest complete model of choice response time: Linear ballistic accumulation
Brown, S. D., & Heathcote, A. (2008) · Cognitive Psychology · doi:10.1016/j.cogpsych.2007.12.002 · Cited by 1,130 · see citing works
Psychology and neurobiology of simple decisions
Smith, P. L., & Ratcliff, R. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.01.006 · Cited by 1,051 · see citing works
Ratcliff, R., & Tuerlinckx, F. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196302 · Cited by 838 · see citing works
Multialternative decision field theory: A dynamic connectionst model of decision making.
Roe, R. M., Busemeyer, J. R., & Townsend, J. T. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.370 · Cited by 765 · see citing works
Two-stage dynamic signal detection: A theory of choice, decision time, and confidence.
Pleskac, T. J., & Busemeyer, J. R. (2010) · Psychological Review · doi:10.1037/a0019737 · Cited by 722 · see citing works
An Exemplar-Based Random Walk Model of Speeded Classification
Nosofsky, R., & Palmeri, T. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.266 · Cited by 271 · see citing works
Probabilistic population codes for Bayesian decision making
Beck, J. M., Ma, W. J., Kiani, R., Hanks, T., Churchland, A. K., Roitman, J., Shadlen, M. N., Latham, P. E., & Pouget, A. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.021 · Cited by 645 · see citing works
The effect of stimulus strength on the speed and accuracy of a perceptual decision
Palmer, J., Huk, A. C., & Shadlen, M. N. (2005) · Journal of Vision · doi:10.1167/5.5.1 · Cited by 691 · see citing works
Decision-making with multiple alternatives
Churchland, A. K., Kiani, R., & Shadlen, M. N. (2008) · Nature Neuroscience · doi:10.1038/nn.2123 · Cited by 671 · see citing works
Decision Making as a Window on Cognition
Shadlen, M. N., & Kiani, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.047 · Cited by 660 · see citing works
A role for neural integrators in perceptual decision making
Mazurek, M. E., Roitman, J. D., Ditterich, J., & Shadlen, M. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg097 · Cited by 620 · see citing works
Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions
Forstmann, B. U., Ratcliff, R., & Wagenmakers, E. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033645 · Cited by 613 · see citing works
Connectionist and diffusion models of reaction time.
Ratcliff, R., Zandt, T. V., & McKoon, G. (1999) · Psychological Review · doi:10.1037/0033-295x.106.2.261 · Cited by 588 · see citing works
Probabilistic reasoning by neurons
Yang, T., & Shadlen, M. N. (2007) · Nature · doi:10.1038/nature05852 · Cited by 581 · see citing works
The Cost of Accumulating Evidence in Perceptual Decision Making
Drugowitsch, J., Moreno-Bote, R., Churchland, A. K., Shadlen, M. N., & Pouget, A. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4010-11.2012 · Cited by 577 · see citing works
A Diffusion Model Account of the Lexical Decision Task.
Ratcliff, R., Gómez, P., & McKoon, G. (2004) · Psychological Review · doi:10.1037/0033-295x.111.1.159 · Cited by 579 · see citing works
An EZ-diffusion model for response time and accuracy
Wagenmakers, E., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194023 · Cited by 544 · see citing works
Gold, J. I., & Shadlen, M. N. (2002) · Neuron · doi:10.1016/s0896-6273(02)00971-6 · Cited by 547 · see citing works
Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation
Fleming, S. M., & Daw, N. D. (2017) · Psychological Review · doi:10.1037/rev0000045 · Cited by 489 · see citing works
Huk, A. C., & Shadlen, M. N. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.4684-04.2005 · Cited by 538 · see citing works
Kiani, R., Hanks, T. D., & Shadlen, M. N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4761-07.2008 · Cited by 500 · see citing works
Choice Certainty Is Informed by Both Evidence and Decision Time
Kiani, R., Corthell, L., & Shadlen, M. N. (2014) · Neuron · doi:10.1016/j.neuron.2014.12.015 · Cited by 470 · see citing works
Quantum dynamics of human decision-making
Busemeyer, J. R., Wang, Z., & Townsend, J. T. (2006) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2006.01.003 · Cited by 487 · see citing works
Elapsed Decision Time Affects the Weighting of Prior Probability in a Perceptual Decision Task
Hanks, T. D., Mazurek, M. E., Kiani, R., Hopp, E., & Shadlen, M. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5613-10.2011 · Cited by 378 · see citing works
Bias in the Brain: A Diffusion Model Analysis of Prior Probability and Potential Payoff
Mulder, M., Wagenmakers, E., Ratcliff, R., Boekel, W., & Forstmann, B. U. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4156-11.2012 · Cited by 427 · see citing works
The classic P300 encodes a build‐to‐threshold decision variable
Twomey, D. M., Murphy, P. R., Kelly, S. P., & O'Connell, R. G. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12936 · Cited by 376 · see citing works
Neurally constrained modeling of perceptual decision making.
Purcell, B. A., Heitz, R. P., Cohen, J. Y., Schall, J. D., Logan, G. D., & Palmeri, T. J. (2010) · Psychological Review · doi:10.1037/a0020311 · Cited by 335 · see citing works
Hierarchical diffusion models for two-choice response times.
Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2011) · Psychological Methods · doi:10.1037/a0021765 · Cited by 323 · see citing works
Episodic theory of the dynamics of spatial attention.
Sperling, G., & Weichselgartner, E. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.503 · Cited by 314 · see citing works
The calibration and resolution of confidence in perceptual judgments
Baranski, J. V., & Petrusic, W. M. (1994) · Perception & Psychophysics · doi:10.3758/bf03205299 · Cited by 308 · see citing works
Ploran, E. J., Nelson, S. M., Velanova, K., Donaldson, D. I., Petersen, S. E., & Wheeler, M. E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3522-07.2007 · Cited by 282 · see citing works
“Accumulator models (Audley and Pike, 1965; Link and Heath, 1975; Ratcliff, 1978; Ratcliff and McKoon, 1982; Smith and Vickers, 1988; Usher and McClelland, 2001) describe evidence gathering as a gradual process in which evidence supporting different choices accrues over time.”
BackgroundTheoretical interpretations of the speed and accuracy of positive and negative responses.
Ratcliff, R. (1985) · Psychology Review · doi:10.1037/0033-295x.92.2.212 · Cited by 294 · see citing works
Stochastic Dynamic Models of Response Time and Accuracy: A Foundational Primer
Smith, P. L. (2000) · Journal of Mathematical Psychology · doi:10.1006/jmps.1999.1260 · Cited by 271 · see citing works
Evidence accumulation in decision making: Unifying the “take the best” and the “rational” models
Lee, M. D., & Cummins, T. D. R. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196581 · Cited by 270 · see citing works
Townsend, J. T., & Wenger, M. J. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.1003 · Cited by 268 · see citing works
Choice reaction performance following an error
Laming, D. (1979) · Acta Psychologica · doi:10.1016/0001-6918(79)90026-x · Cited by 263 · see citing works
The relative judgment theory of two choice response time
Link, S. W. (1975) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(75)90053-x · Cited by 251 · see citing works
Self-citationSurvey of decision field theory
Busemeyer, J. R., & Diederich, A. (2002) · Mathematical Social Sciences · doi:10.1016/s0165-4896(02)00016-1 · Cited by 246 · see citing works
Exemplar similarity and the development of automaticity.
Palmeri, T. J. (1997) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.23.2.324 · Cited by 241 · see citing works
Parsing a Cognitive Task: A Characterization of the Mind's Bottleneck
Sigman, M., & Dehaene, S. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030037 · Cited by 235 · see citing works
A diffusion model account of masking in two-choice letter identification.
Ratcliff, R., & Rouder, J. N. (2000) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.26.1.127 · Cited by 238 · see citing works
Ratcliff, R., Hasegawa, Y. T., Hasegawa, R. P., Smith, P. L., & Segraves, M. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00393.2006 · Cited by 236 · see citing works
Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task.
Wallsten, T. S., Pleskac, T. J., & Lejuez, C. W. (2005) · Psychological Review · doi:10.1037/0033-295x.112.4.862 · Cited by 238 · see citing works
Wagenmakers, E. (2008) · The European Journal of Cognitive Psychology · doi:10.1080/09541440802205067 · Cited by 230 · see citing works
Continuous versus discrete information processing: Modeling accumulation of partial information.
Ratcliff, R. (1988) · Psychological Review · doi:10.1037/0033-295x.95.2.238 · Cited by 231 · see citing works
The accumulator model of two-choice discrimination
Smith, P. L., & Vickers, D. (1988) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(88)90043-0 · Cited by 223 · see citing works
Simen, P., Contreras, D., Buck, C. L., Hu, P. T., Holmes, P. J., & Cohen, J. D. (2009) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0016926 · Cited by 224 · see citing works
Fitting the ratcliff diffusion model to experimental data
Vandekerckhove, J., & Tuerlinckx, F. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03193087 · Cited by 215 · see citing works
Physiological evidence for response inhibition in choice reaction time tasks
Burle, B., Vidal, F., Tandonnet, C., & Hasbroucq, T. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.06.004 · Cited by 213 · see citing works
Optimal policy for value-based decision-making
Tajima, S., Drugowitsch, J., & Pouget, A. (2016) · Nature Communications · doi:10.1038/ncomms12400 · Cited by 209 · see citing works
Multisensory Decision-Making in Rats and Humans
Raposo, D. C., Sheppard, J. P., Schrater, P., & Churchland, A. K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4998-11.2012 · Cited by 207 · see citing works
Bridging Neural and Computational Viewpoints on Perceptual Decision-Making
O’Connell, R. G., Shadlen, M. N., Wong‐Lin, K., & Kelly, S. P. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.06.005 · Cited by 214 · see citing works
Busemeyer, J. R. (1985) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.11.3.538 · Cited by 203 · see citing works
Modeling response signal and response time data☆
Ratcliff, R. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2005.10.002 · Cited by 201 · see citing works
Speed, Accuracy, and the Optimal Timing of Choices
Fudenberg, D., Strack, P., & Strzalecki, T. (2018) · American Economic Review · doi:10.1257/aer.20150742 · Cited by 211 · see citing works
Dynamics of the Central Bottleneck: Dual-Task and Task Uncertainty
Sigman, M., & Dehaene, S. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040220 · Cited by 196 · see citing works
Rorie, A. E., Gao, J., McClelland, J. L., & Newsome, W. T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009308 · Cited by 195 · see citing works
The Basal Ganglia’s Contributions to Perceptual Decision Making
Ding, L., & Gold, J. I. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.042 · Cited by 201 · see citing works
Carello, C. D., & Krauzlis, R. J. (2004) · Neuron · doi:10.1016/j.neuron.2004.07.026 · Cited by 189 · see citing works
Juslin, P., & Olsson, H. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.344 · Cited by 172 · see citing works
Rinkenauer, G., Osman, A. M., Ulrich, R., Müller‐Gethmann, H., & Mattes, S. (2004) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.133.2.261 · Cited by 171 · see citing works
fMRI Evidence for a Dual Process Account of the Speed-Accuracy Tradeoff in Decision-Making
Ivanoff, J., Branning, P., & Marois, R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002635 · Cited by 168 · see citing works
Threshold models of temporal-order judgments evaluated by a ternary response task
Ulrich, R. (1987) · Perception & Psychophysics · doi:10.3758/bf03203074 · Cited by 164 · see citing works
Representation of accumulating evidence for a decision in two parietal areas
de Lafuente, V., Jazayeri, M., & Shadlen, M. N. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2451-14.2015 · Cited by 162 · see citing works
Fundamental derivations from decision field theory
Busemeyer, J. R., & Townsend, J. T. (1992) · Mathematical Social Sciences · doi:10.1016/0165-4896(92)90043-5 · Cited by 161 · see citing works
A dynamic, stochastic, computational model of preference reversal phenomena.
Johnson, J. G., & Busemeyer, J. (2005) · Psychology Review · doi:10.1037/0033-295x.112.4.841 · Cited by 152 · see citing works
Disentangling decision models: From independence to competition.
Teodorescu, A. R., & Usher, M. (2013) · Psychological Review · doi:10.1037/a0030776 · Cited by 155 · see citing works
Automating the News: How Personalized News Recommender System Design Choices Impact News Reception
Beam, M. A. (2014) · Communication Research · doi:10.1177/0093650213497979 · Cited by 159 · see citing works
A counter model for implicit priming in perceptual word identification.
Ratcliff, R., & McKoon, G. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.319 · Cited by 159 · see citing works
A comparison of two response time models applied to perceptual matching
Zandt, T. V., Colonius, H., & Proctor, R. W. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03212980 · Cited by 156 · see citing works
Target selection and the superior colliculus: goals, choices and hypotheses
Krauzlis, R. J., Liston, D. B., & Carello, C. D. (2004) · Vision Research · doi:10.1016/j.visres.2004.01.005 · Cited by 156 · see citing works
Computational Models of Decision Making
Busemeyer, J. R., & Johnson, J. G. (2004) · Wiley eBooks · doi:10.1002/9780470752937.ch7 · Cited by 148 · see citing works
Analysis of Response Time Distributions
Zandt, T. V. (2002) · doi:10.1002/0471214426.pas0412 · Cited by 149 · see citing works
Cognitive modeling of decision making in sports
Johnson, J. G. (2006) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2006.03.009 · Cited by 146 · see citing works
The serial-parallel dilemma: A case study in a linkage of theory and method
Townsend, J. T., & Wenger, M. J. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196588 · Cited by 143 · see citing works
Smith, P. L., Ratcliff, R., & Wolfgang, B. J. (2004) · Vision Research · doi:10.1016/j.visres.2004.01.002 · Cited by 141 · see citing works
Diederich, A., & Busemeyer, J. R. (2003) · Journal of Mathematical Psychology · doi:10.1016/s0022-2496(03)00003-8 · Cited by 142 · see citing works
The widespread influence of the Rescorla-Wagner model
Siegel, S., & Allan, L. G. (1996) · Psychonomic Bulletin & Review · doi:10.3758/bf03210755 · Cited by 140 · see citing works
Diederich, A., & Busemeyer, J. (2006) · Perception & Psychophysics · doi:10.3758/bf03193669 · Cited by 143 · see citing works
Neurocomputational mechanisms of prior-informed perceptual decision-making in humans
Kelly, S. P., Corbett, E. A., & O’Connell, R. G. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00967-9 · Cited by 145 · see citing works
Kelly, S. P., & O’Connell, R. G. (2014) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2014.08.003 · Cited by 128 · see citing works
Neural Correlates of Target Choice for Pursuit and Saccades in the Primate Superior Colliculus
Krauzlis, R. J., & Dill, N. (2002) · Neuron · doi:10.1016/s0896-6273(02)00756-0 · Cited by 127 · see citing works
A Stochastic Version of General Recognition Theory
Ashby, F. G. (2000) · Journal of Mathematical Psychology · doi:10.1006/jmps.1998.1249 · Cited by 130 · see citing works
Parasuraman, R., Masalonis, A. J., & Hancock, P. A. (2000) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872000779697980 · Cited by 125 · see citing works
Mistaking a house for a face: neural correlates of misperception in healthy humans
Summerfield, C., Egner, T., Mangels, J., & Hirsch, J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhi129 · Cited by 120 · see citing works
Unfalsifiability and mutual translatability of major modeling schemes for choice reaction time.
Jones, M., & Dzhafarov, E. N. (2013) · Psychological Review · doi:10.1037/a0034190 · Cited by 125 · see citing works
Arousal-related adjustments of perceptual biases optimize perception in dynamic environments
Krishnamurthy, K., Nassar, M. R., Sarode, S., & Gold, J. I. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0107 · Cited by 117 · see citing works
Psychological models of deferred decision making
Busemeyer, J. R., & Rapoport, A. (1988) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(88)90042-9 · Cited by 117 · see citing works
How mechanisms of perceptual decision-making affect the psychometric function
Gold, J. I., & Ding, L. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.05.008 · Cited by 112 · see citing works
- Authors
- Link, S. W., & Heath, R. A.
- Affiliations
- McMaster University (CA)
- ORCID
- Link, S. W.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1975-03
- Volume
- 40
- Issue
- 1
- Pages
- 77-105
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2150648562
- Cited by
- 492
- References
- 26
- Citations by year
- 2026: 18 · 2025: 7 · 2024: 8 · 2023: 17 · 2022: 9 · 2021: 13 · 2020: 16 · 2019: 15 · 2018: 17 · 2017: 23 · 2016: 19 · 2015: 27 · 2014: 27 · 2013: 18 · 2012: 21
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychometrika (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- sequential decision theory, random walks, absorbing barriers, response threshold, moment generating function, receiver operating characteristic, signal detection theory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review