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A theory of memory retrieval.
Abstract
A theory of memory retrieval is developed and is shown to apply over a range of experimental paradigms. Access to memory traces is viewed in terms of a resonance metaphor. The probe item evokes the search set on the basis of probe-memory item relatedness, just as a ringing tuning fork evokes sympathetic vibrations in other tuning forks. Evidence is accumulated in parallel from each probe-memory item comparison, and each comparison is modeled by a continuous random walk process. In item recognition, the decision process is self-terminating on matching comparisons and exhaustive on nonmatching comparisons. The mathematical model produces predictions about accuracy, mean reaction time, error latency, and reaction time distributions that are in good accord with experimental data. The theory is applied to four item recognition paradigms (Sternberg, prememorized list, study-test, and continuous) and to speed-accuracy paradigms; results are found to provide a basis for comparison of these paradigms. It is noted that neural network models can be interfaced to the retrieval theory with little difficulty and that semantic memory models may benefit from such a retrieval scheme.
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“This model uses the RT distributions of both correct and incorrect responses to separate the decisional and nondecisional components of performance.”
From Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance (2008) · cites this paper as Ratcliff, 1978
In the citing paper
“The diffusion model provides a decomposition of behavioral performance into cognitively-relevant latent variables representing the speed and accuracy of information processing (drift rate – ‘v’), the speed of perceptual and motor processes not directly related to the decision process (non-decision time – ‘t’) and a flexible measure of response caution (boundary separation – ‘a’; Ratcliff, 1978).”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Ratcliff, 1978
In the citing paper
“The diffusion model is popular because of its simplicity yet proven success with fitting behavioral data in numerous human studies (Ratcliff, 1978; Busemeyer and Townsend, 1993; Smith and Ratcliff, 2004).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Ratcliff, 1978
In the citing paper
“On the other hand, human studies commonly report skewed RT distributions with a long right tail, which is well captured by the diffusion model (Ratcliff, 1978; Luce, 1986; Ratcliff and Rouder, 1998; Usher and McClelland, 2001; Sigman and Dehaene, 2005) but not the existing neural circuit model.”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Ratcliff, 1978
In the citing paper
“The diffusion model assumes that a difference signal about the conflicting inputs is computed occurs at the input level (Ratcliff, 1978; Mazurek et al., 2003).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Ratcliff, 1978
Citations
Cites
A spreading-activation theory of semantic processing.
Collins, A. M., & Loftus, E. F. (1975) · Psychological Review · doi:10.1037/0033-295x.82.6.407 · Cited by 8,141
Human Memory: A Proposed System and its Control Processes
Atkinson, R. C., & Shiffrin, R. M. (1968) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60422-3 · Cited by 7,216
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
High-speed scanning in human memory
Sternberg, S. (1966) · Science · doi:10.1126/science.153.3736.652 · Cited by 3,576
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
Retrieval time from semantic memory
Collins, A. M., & Quillian, M. R. (1969) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(69)80069-1 · Cited by 3,265
The discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137
Anderson, J. R. (2013) · Psychology Press eBooks · doi:10.4324/9780203780954 · Cited by 2,180
The Representation of Meaning in Memory
Anderson, J. R., & Kintsch, W. (1975) · The American Journal of Psychology · doi:10.2307/1421786 · Cited by 2,061
Anderson, J. R., Bower, G. H., & Bower, G. H. (2013) · Psychology Press eBooks · doi:10.4324/9780203780831 · Cited by 2,031
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Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
A distributed, developmental model of word recognition and naming.
Seidenberg, M. S., & McClelland, J. L. (1989) · Psychological Review · doi:10.1037/0033-295x.96.4.523 · Cited by 3,909
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
A learning algorithm for Boltzmann machines
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science · doi:10.1207/s15516709cog0901_7 · Cited by 3,402
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
Self-citationThe 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
Default Bayes factors for ANOVA designs
Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2012.08.001 · Cited by 1,800
Tutorial on maximum likelihood estimation
Myung, I. J. (2003) · Journal of Mathematical Psychology · doi:10.1016/s0022-2496(02)00028-7 · Cited by 1,802
Decision making, the P3, and the locus coeruleus–norepinephrine system
Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.4.510 · Cited by 1,678
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
“The most extensively evaluated approach to the problem has been the assumption of trial-to-trial variability in model parameters [2,7,9].”
BackgroundMethodInfluentialSelf-citationThe reliability paradox: Why robust cognitive tasks do not produce reliable individual differences
Hedge, C., Powell, G., & Sumner, P. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0935-1 · Cited by 1,457
Modeling Response Times for Two-Choice Decisions
Ratcliff, R., & Rouder, J. N. (1998) · Psychological Science · doi:10.1111/1467-9280.00067 · Cited by 1,478
Self-citationVisual fixations and the computation and comparison of value in simple choice
Krajbich, I., Armel, C., & Rangel, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2635 · Cited by 1,408
On the time relations of mental processes: An examination of systems of processes in cascade.
McClelland, J. L. (1979) · Psychological Review · doi:10.1037/0033-295x.86.4.287 · Cited by 1,298
Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242
Neuronal Reward and Decision Signals: From Theories to Data
Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Neural Control of Voluntary Movement Initiation
Hanes, D. P., & Schall, J. D. (1996) · Science · doi:10.1126/science.274.5286.427 · Cited by 1,145
A Recurrent Network Mechanism of Time Integration in Perceptual Decisions
Wong, K.-F., & Wang, X.-J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3733-05.2006 · Cited by 1,029
Toward a rational and mechanistic account of mental effort
Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031526 · Cited by 1,077
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
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Summerfield, C., & Egner, T. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.003 · Cited by 950
Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886
Orthographic processing in visual word recognition: A multiple read-out model.
Grainger, J., & Jacobs, A. M. (1996) · Psychological Review · doi:10.1037/0033-295x.103.3.518 · Cited by 947
Lieder, F., & Griffiths, T. L. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1900061x · Cited by 892
Ratcliff, R., & Tuerlinckx, F. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196302 · Cited by 838
Self-citationNeural computation of log likelihood in control of saccadic eye movements
Carpenter, R. H. S., & Williams, M. L. L. (1995) · Nature · doi:10.1038/377059a0 · Cited by 823
Précis of Elements of episodic memory
Tulving, E. (1984) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0004440x · Cited by 809
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
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
Decision Making in Recurrent Neuronal Circuits
Wang, X.-J. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.034 · Cited by 679
“The diffusion model assumes that a difference signal about the conflicting inputs is computed occurs at the input level (Ratcliff, 1978; Mazurek et al., 2003).”
BackgroundMethodInfluentialChapter 2 Design for a Working Memory
Oberauer, K. (2009) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(09)51002-x · Cited by 636
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
Huk, A. C., & Shadlen, M. N. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.4684-04.2005 · Cited by 538
Large-scale analysis of test–retest reliabilities of self-regulation measures
Enkavi, A. Z., Eisenberg, I. W., Bissett, P. G., Mazza, G. L., MacKinnon, D. P., Marsch, L. A., & Poldrack, R. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818430116 · Cited by 489
Memory for the time of past events.
Friedman, W. J. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.113.1.44 · Cited by 639
In search of the point of no return: The control of response processes
de Jong, R., Coles, M. G. H., Logan, G. D., & Gratton, G. (1990) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.16.1.164 · Cited by 510
Inhibitory control in mind and brain: An interactive race model of countermanding saccades.
Boucher, L., Palmeri, T. J., Logan, G. D., & Schall, J. D. (2007) · Psychological Review · doi:10.1037/0033-295x.114.2.376 · Cited by 485
Kiani, R., Hanks, T. D., & Shadlen, M. N. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4761-07.2008 · Cited by 500
How the brain integrates costs and benefits during decision making
Basten, U., Biele, G., Heekeren, H. R., & Fiebach, C. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908104107 · Cited by 466
Half a century of research on the Stroop effect: An integrative review.
MacLeod, C. M. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.109.2.163 · Cited by 5,500
Bayesian just-so stories in psychology and neuroscience.
Bowers, J. S., & Davis, C. J. (2012) · Psychological Bulletin · doi:10.1037/a0026450 · Cited by 436
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Self-citationPhysical Activity and Cognitive Vitality
Prakash, R. S., Voss, M. W., Erickson, K. I., & Kramer, A. F. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015249 · Cited by 376
Rational approximations to rational models: alternative algorithms for category learning
Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010) · Psychological Review · doi:10.1037/a0020511 · Cited by 369
Behavioral components of impulsivity.
Stahl, C., Voss, A., Schmitz, F., Nuszbaum, M., Tüscher, O., Lieb, K., & Klauer, K. C. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0033981 · Cited by 319
Contributions of the striatum to learning, motivation, and performance: an associative account
Liljeholm, M., & O’Doherty, J. P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.07.007 · Cited by 317
Models of visual word recognition: Sampling the state of the art.
Jacobs, A. M., & Grainger, J. (1994) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.20.6.1311 · Cited by 319
Should a Few Null Findings Falsify Prefrontal Theories of Conscious Perception?
Odegaard, B., Knight, R. T., & Lau, H. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3217-16.2017 · Cited by 316
Grounding cognitive control in associative learning
Abrahamse, E., Braem, S., Notebaert, W., & Verguts, T. (2016) · Psychological Bulletin · doi:10.1037/bul0000047 · Cited by 276
Eye tracking and pupillometry are indicators of dissociable latent decision processes.
Cavanagh, J. F., Wiecki, T. V., Kochar, A., & Frank, M. J. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0035813 · Cited by 289
A neurobiological theory of automaticity in perceptual categorization
Ashby, F. G., Ennis, J. M., & Spiering, B. J. (2007) · Psychological Review · doi:10.1037/0033-295x.114.3.632 · Cited by 286
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
“…proven highly effective in describing human performance in recognition memory, lexical decisions, economic decisions, and sensory discriminations (Ratcliff, 1978; Busemeyer, 1985; Bundesen, 1990; Nosofsky and Palmeri, 1997; Ratcliff and Rouder, 1998; Logan and Gordon, 2001; Ratcliff et al.,…”
BackgroundMethodInfluentialCerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance
Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., Davis, S. W., Dennis, N. A., Provenzale, J. M., & Huettel, S. A. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21047 · Cited by 265
Structured statistical models of inductive reasoning
Kemp, C., & Tenenbaum, J. B. (2009) · Psychological Review · doi:10.1037/a0014282 · Cited by 259
Internally generated sequences in learning and executing goal-directed behavior
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Brown, S., & Heathcote, A. (2005) · Psychological Review · doi:10.1037/0033-295x.112.1.117 · Cited by 228
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
A neural mechanism of speed-accuracy tradeoff in macaque area LIP
Hanks, T., Kiani, R., & Shadlen, M. N. (2014) · eLife · doi:10.7554/elife.02260 · Cited by 222
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Reddi, B. A. J., Asrress, K. N., & Carpenter, R. H. S. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00689.2002 · Cited by 217
Embodied choice: how action influences perceptual decision making
Lepora, N. F., & Pezzulo, G. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004110 · Cited by 209
Episodic retrieval and the cortical binding of relational activity
Shimamura, A. P. (2011) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0031-4 · Cited by 205
Brain mechanisms for perceptual and reward-related decision-making
Deco, G., Rolls, E. T., Albantakis, L., & Romo, R. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.01.010 · Cited by 196
The role of spatial boundaries in shaping long-term event representations
Horner, A. J., Bisby, J. A., Wang, A., Bogus, K., & Burgess, N. (2016) · Cognition · doi:10.1016/j.cognition.2016.05.013 · Cited by 175
Intra-individual variability in ADHD, autism spectrum disorders and Tourette's syndrome
Geurts, H. M., Grasman, R. P. P. P., Verté, S., Oosterlaan, J., Roeyers, H., van Kammen, S. M., & Sergeant, J. A. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.06.013 · Cited by 192
MEMORY-BASED LANGUAGE PROCESSING: Psycholinguistic Research in the 1990s
McKoon, G., & Ratcliff, R. (1998) · Annual Review of Psychology · doi:10.1146/annurev.psych.49.1.25 · Cited by 179
Self-citationSummerfield, C., & Tsetsos, K. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00070 · Cited by 167
Lexical access and lexical decision: mechanisms of frequency sensitivity
Gordon, B. (1983) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(83)80004-8 · Cited by 169
Zhang, J. X., Leung, H.-C., & Johnson, M. K. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.016 · Cited by 167
Pezzulo, G., Rigoli, F., & Chersi, F. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00092 · Cited by 163
Adult age differences in functional connectivity during executive control
Madden, D. J., Costello, M. C., Dennis, N. A., Davis, S. W., Shepler, A. M., Spaniol, J., Bucur, B., & Cabeza, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.249 · Cited by 152
The signal processing architecture underlying subjective reports of sensory awareness
Maniscalco, B., & Lau, H. (2016) · Neuroscience of Consciousness · doi:10.1093/nc/niw002 · Cited by 133
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
“Such an accumulation of noisy evidence has been likened to a random walk or diffusion process (Ratcliff, 1978; Gold and Shadlen, 2002).”
BackgroundMethodInfluentialThe dynamics of choice among multiple alternatives
McMillen, T., & Holmes, P. (2006) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2005.10.003 · Cited by 153
Representation of retrieval confidence by single neurons in the human medial temporal lobe
Rutishauser, U., Ye, S., Koroma, M., Tudusciuc, O., Ross, I. B., Chung, J. M., & Mamelak, A. N. (2015) · Nature Neuroscience · doi:10.1038/nn.4041 · Cited by 147
Can people identify original and manipulated photos of real-world scenes?
Nightingale, S. J., Wade, K. A., & Watson, D. G. (2017) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-017-0067-2 · Cited by 135
Confidence Is the Bridge between Multi-stage Decisions
van den Berg, R., Zylberberg, A., Kiani, R., Shadlen, M. N., & Wolpert, D. M. (2016) · Current Biology · doi:10.1016/j.cub.2016.10.021 · Cited by 125
Confidence controls perceptual evidence accumulation
Balsdon, T., Wyart, V., & Mamassian, P. (2020) · Nature Communications · doi:10.1038/s41467-020-15561-w · Cited by 137
Mulder, M. J., Bos, D., Weusten, J. M. H., van Belle, J., van Dijk, S. C., Simen, P., van Engeland, H., & Durston, S. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.031 · Cited by 131
Ziegler, S., Pedersen, M. L., Mowinckel, A. M., & Biele, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.002 · Cited by 110
Motor effort alters changes of mind in sensorimotor decision making
Burk, D., Ingram, J. N., Franklin, D. W., Shadlen, M. N., & Wolpert, D. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092681 · Cited by 117
Strijkers, K., & Costa, A. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00356 · Cited by 106
Surprise, value and control in anterior cingulate cortex during speeded decision-making
Vassena, E., Deraeve, J., & Alexander, W. H. (2020) · Nature Human Behaviour · doi:10.1038/s41562-019-0801-5 · Cited by 87
van Vugt, M. K., & Jha, A. P. (2011) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0048-8 · Cited by 108
Brumby, D. P., Cox, A. L., Back, J., & Gould, S. J. J. (2013) · Journal of Experimental Psychology: Applied · doi:10.1037/a0032696 · Cited by 103
Individual differences in long-term memory.
Unsworth, N. (2019) · Psychological Bulletin · doi:10.1037/bul0000176 · Cited by 99
Relation between belief and performance in perceptual decision making
Drugowitsch, J., Moreno-Bote, R., & Pouget, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096511 · Cited by 72
Evidence accumulation during a sensorimotor decision task revealed by whole-brain imaging
Dragomir, E. I., Štih, V., & Portugues, R. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0535-8 · Cited by 89
Modeling individual differences in response time and accuracy in numeracy
Ratcliff, R., Thompson, C. A., & McKoon, G. (2015) · Cognition · doi:10.1016/j.cognition.2014.12.004 · Cited by 77
Self-citationSocial Influence and Perceptual Decision Making: A Diffusion Model Analysis
Germar, M., Schlemmer, A., Krug, K., Voss, A., & Mojzisch, A. (2014) · Personality and Social Psychology Bulletin · doi:10.1177/0146167213508985 · Cited by 79
Long-term aftereffects of response inhibition: memory retrieval, task goals, and cognitive control
Verbruggen, F., & Logan, G. D. (2008) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.34.5.1229 · Cited by 76
Cunillera, T., Fuentemilla, L., Brignani, D., Cucurell, D., & Miniussi, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113537 · Cited by 75
The cognitive architecture for chaining of two mental operations
Sackur, J., & Dehaene, S. (2009) · Cognition · doi:10.1016/j.cognition.2009.01.010 · Cited by 73
Confidence reflects a noisy decision reliability estimate
Boundy-Singer, Z. M., Ziemba, C. M., & Goris, R. L. T. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01464-x · Cited by 71
There’s Nothing Social about Social Priming: Derailing the “Train Wreck”
Sherman, J. W., & Rivers, A. M. (2021) · Psychological Inquiry · doi:10.1080/1047840x.2021.1889312 · Cited by 62
Auditory information enhances post-sensory visual evidence during rapid multisensory decision-making
Franzen, L., Delis, I., De Sousa, G., Kayser, C., & Philiastides, M. G. (2020) · Nature Communications · doi:10.1038/s41467-020-19306-7 · Cited by 57
Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats
Hales, C. A., Robinson, E. S. J., & Houghton, C. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152592 · Cited by 49
A note on the distribution of response times for a random walk with Gaussian increments
Smith, P. L. (1990) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(90)90023-3 · Cited by 51
Weigard, A., & Sripada, C. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.02.001 · Cited by 43
Metadata
- Authors
- Ratcliff, R.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Ratcliff, Roger
- ORCID
- Ratcliff, Roger
- Venue
- Psychological Review
- Published
- 1978-03
- Volume
- 85
- Issue
- 2
- Pages
- 59-108
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2098205603
- Cited by
- 4,513
- References
- 84
- Citations by year
- 2026: 176 · 2025: 226 · 2024: 242 · 2023: 237 · 2022: 237 · 2021: 275 · 2020: 268 · 2019: 263 · 2018: 220 · 2017: 191 · 2016: 198 · 2015: 204 · 2014: 198 · 2013: 139 · 2012: 143
- FWCI
- 18.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- memory retrieval, item recognition, decision processes, Sternberg paradigm, speed-accuracy trade-off, reaction time distribution, neural network model
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