References
- Ahn, W.-Y., Haines, N., & Zhang, L. (2017). Revealing neurocomputational mechanisms of reinforcement learning and decision-making with the hBayesDM package. Computational Psychiatry, 1(0), 24–57. https://doi.org/https://doi.org/10.1162/CPSY_a_00002
- Anders, R., Alario, F.-X., & van Maanen, L. (2016). The shifted wald distribution for response time data analysis. Psychological Methods, 21(3), 309–327. https://doi.org/https://doi.org/10.1037/met0000066
- Anders, R., Riès, S., van Maanen, L., & Alario, F.-X. (2015). Evidence accumulation as a model for lexical selection. Cognitive Psychology, 82, 57–73. https://doi.org/https://doi.org/10.1016/j.cogpsych.2015.07.002
- Anders, R., Riès, S., van Maanen, L., & Alario, F.-X. (2017). Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection. Cognitive Neuropsychology, 34(1–2), 1–20. https://doi.org/https://doi.org/10.1080/02643294.2017.1282447
- Ansari, D., Donlan, C., & Karmiloff-Smith, A. (2007). Typical and atypical development of visual estimation abilities. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 43(6), 758–768. https://doi.org/https://doi.org/10.1016/S0010-9452(08)70504-5
- Archambeau, K., Forstmann, B. U., van Maanen, L., & Gevers, W. (2020). Proactive interference in aging: A model-based study. Psychonomic Bulletin & Review, 27(1), 130–138. https://doi.org/https://doi.org/10.3758/s13423-019-01671-0
- Atkinson, J., Braddick, O., Rose, F. E., Searcy, Y. M., Wattam-Bell, J., & Bellugi, U. (2006). Dorsal-stream motion processing deficits persist into adulthood in Williams syndrome. Neuropsychologia, 44(5), 828–833. https://doi.org/https://doi.org/10.1016/J.NEUROPSYCHOLOGIA.2005.08.002
- Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412. https://doi.org/https://doi.org/10.1016/j.jml.2007.12.005
- Baayen, R. H., & Milin, P. (2010). Analyzing reaction times. International Journal of Psychological Research, 3(2), 12–28. https://doi.org/https://doi.org/10.21500/20112084.807
- Banca, P., Vestergaard, M. D., Rankov, V., Baek, K., Mitchell, S., Lapa, T., Castelo-Branco, M., & Voon, V. (2015). Evidence accumulation in obsessive-compulsive disorder: The role of uncertainty and monetary reward on perceptual decision-making thresholds. Neuropsychopharmacology, 40(5), 1192–1202. https://doi.org/https://doi.org/10.1038/npp.2014.303
- Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/https://doi.org/10.18637/jss.v067.i01
- Bellugi, U., Bihrle, A., Jernigan, T., Trauner, D., & Doherty, S. (1990). Neuropsychological, neurological, and neuroanatomical profile of Williams syndrome. American Journal of Medical Genetics. Supplement, 6, 115–125. https://doi.org/https://doi.org/10.1002/ajmg.1320370621
- Bellugi, U., Lichtenberger, L., Jones, W., Lai, Z., & St George, M. (2000). I. The neurocognitive profile of Williams syndrome: A complex pattern of strengths and weaknesses. Journal of Cognitive Neuroscience, 12(Suppl 1), 7–29. https://doi.org/https://doi.org/10.1162/089892900561959
- Bellugi, U., Marks, A., Bihrle, A., & Sabo, H. (1988). Dissociation between language and cognitive functions in Williams syndrome. In D. Bishop & K. Mogford (Eds.), Language development in exceptional cirvumstances (pp. 177–189). Churchill Livingstone.
- Bennett, F. C., LaVeck, B., & Sells, C. J. (1978). The Williams Elfin Facies syndrome: The psychological profile as an aid in syndrome identification. Pediatrics, 61(2), 372–373. https://doi.org/https://doi.org/10.1542/peds.65.2.372
- Boehm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A.-M., Lerche, V., Logan, G. D., Palmeri, T. J., van Ravenzwaaij, D., Servant, M., Singmann, H., Starns, J. J., Voss, A., Wiecki, T. V., Matzke, D., & Wagenmakers, E.-J. (2018). Estimating across-trial variability parameters of the diffusion decision model: Expert advice and recommendations. Journal of Mathematical Psychology, 87, 46–75. https://doi.org/https://doi.org/10.1016/j.jmp.2018.09.004
- Bogacz, R., Wagenmakers, E. J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed–accuracy tradeoff. Trends in Neurosciences, 33(1), 10–16. https://doi.org/https://doi.org/10.1016/j.tins.2009.09.002
- Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009). Generalized linear mixed models: A practical guide for ecology and evolution. Trends in Ecology & Evolution, 24(3), 127–135. https://doi.org/https://doi.org/10.1016/j.tree.2008.10.008
- Brock, J. (2007). Language abilities in Williams syndrome: A critical review. Development and Psychopathology, 19(01), 97–127. https://doi.org/https://doi.org/10.1017/S095457940707006X
- Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57(3), 153–178. https://doi.org/https://doi.org/10.1016/j.cogpsych.2007.12.002
- Bürkner, P.-C. (2017). Brms: An R package for Bayesian multilevel models using stan. Journal of Statistical Software, 80(1), 1–28. https://doi.org/https://doi.org/10.18637/jss.v080.i01
- Camp, J. S., & Karmiloff-Smith, A. (2015). Williams syndrome. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (pp. 579–583). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-08-097086-8.55055-7
- Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Li, P., & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 76(1), 1–32. https://doi.org/https://doi.org/10.18637/jss.v076.i01
- Carrasco, X., Castillo, S., Aravena, T., Rothhammer, P., & Aboitiz, F. (2005). Williams syndrome: Pediatric, neurologic, and cognitive development. Pediatric Neurology, 32(3), 166–172. https://doi.org/https://doi.org/10.1016/j.pediatrneurol.2004.09.013
- Clahsen, H., & Almazan, M. (1998). Syntax and morphology in Williams syndrome. Cognition, 68(3), 167–198. https://doi.org/https://doi.org/10.1016/s0010-0277(98)00049-3
- Clahsen, H., & Temple, C. (2004). Lexical and morphological skills in English-speaking children with Williams syndrome. In S. Bartke & J. Siegmueller (Eds.), Williams syndrome across languages (pp. 221–244). https://doi.org/https://doi.org/10.1075/lald.36.14cla
- Crawley, M. J. (2012). Mixed-effects models. In The R book (pp. 681–714). John Wiley & Sons, Ltd. https://doi.org/https://doi.org/10.1002/9781118448908.ch19
- Dell’acqua, R., Lotto, L., & Job, R. (2000). Naming times and standardized norms for the Italian PD/DPSS set of 266 pictures: Direct comparisons with American, English, French, and Spanish published databases. Behavior Research Methods, Instruments, & Computers, 32(4), 588–615. https://doi.org/https://doi.org/10.3758/BF03200832
- Donkin, C., Brown, S., & Heathcote, A. (2011). Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator. Journal of Mathematical Psychology, 55(2), 140–151. https://doi.org/https://doi.org/10.1016/j.jmp.2010.10.001
- Donkin, Chris, & Van Maanen, Leendert. (2014). Piéron’s Law is not just an artifact of the response mechanism. Journal of Mathematical Psychology, 62-63, 22–32. https://doi.org/https://doi.org/10.1016/j.jmp.2014.09.006
- Elliott, D., Welsh, T. N., Lyons, J., Hansen, S., & Wu, M. (2006). The visual regulation of goal-directed reaching movements in adults with Williams syndrome, Down syndrome, and other developmental delays. Motor Control, 10(1), 34–54. https://doi.org/https://doi.org/10.1123/mcj.10.1.34
- Erhan, C., & Balcı, F. (2017). Obsessive compulsive features predict cautious decision strategies. Quarterly Journal of Experimental Psychology, 70(1), 179–190. https://doi.org/https://doi.org/10.1080/17470218.2015.1130070
- Evans, N. J., & Wagenmakers, E.-J. (2019). Evidence accumulation models: Current limitations and future directions. https://doi.org/https://doi.org/10.31234/osf.io/74df9
- Farrell, S., & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge University Press.
- Farrell, S., & Ludwig, C. J. H. (2008). Bayesian and maximum likelihood estimation of hierarchical response time models. Psychonomic Bulletin & Review, 15(6), 1209–1217. https://doi.org/https://doi.org/10.3758/PBR.15.6.1209
- Forstmann, B. U., Dutilh, G., Brown, S., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E.-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences, 105(45), 17538–17542. https://doi.org/https://doi.org/10.1073/pnas.0805903105
- Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2016). Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions. Annual Review of Psychology, 67(1), 641–666. https://doi.org/https://doi.org/10.1146/annurev-psych-122414-033645
- Grant, J., Valian, V., & Karmiloff-Smith, A. (2002). A study of relative clauses in Williams syndrome. Journal of Child Language, 29(2), 403–416. https://doi.org/https://doi.org/10.1017/S030500090200510X
- Greer, J., Riby, D. M., Hamiliton, C., & Riby, L. M. (2013). Attentional lapse and inhibition control in adults with Williams syndrome. Research in Developmental Disabilities, 34(11), 4170–4177. https://doi.org/https://doi.org/10.1016/j.ridd.2013.08.041
- Hatzigeorgiu, N., Gavrilidou, M., Piperidis, S., Carayannis, G., Papakostopoulou, A., Spiliotopoulou, A., Vacalopoulou, A., Labropoulou, P., Mantzari, E., Papageorgiou, H., & Demiros, I. (2000). Design and implementation of the online ILSP Greek Corpus. In Proceedings of the LREC 2000 Conferences (pp. 1737–1742).
- Hauser, T. U., Allen, M., Rees, G., & Dolan, R. J. (2017). Metacognitive impairments extend perceptual decision making weaknesses in compulsivity. Scientific Reports, 7(1), 6614. https://doi.org/https://doi.org/10.1038/s41598-017-06116-z
- Hudson, K. D., & Farran, E. K. (2011). Executive function and motor planning. In E. K. Farran & A. Karmiloff-Smith (Eds.), Neurodevelopmental disorders across the lifespan: A neuroconstructivist approach (pp. 165–181). OUP.
- Ivanoff, J., Branning, P., Marois, R., & Pelli, D. G. (2008). FMRI evidence for a dual process account of the speed-accuracy tradeoff in decision-making. Plos One, 3(7), e2635. https://doi.org/https://doi.org/10.1371/journal.pone.0002635
- Jarrold, C., Baddeley, A. D., & Hewes, A. K. (1999). Genetically dissociated components of working memory: Evidence from down’s and Williams syndrome. Neuropsychologia, 37(6), 637–651. https://doi.org/https://doi.org/10.1016/s0028-3932(98)00128-6
- Joffe, V., & Varlokosta, S. (2007). Language abilities in Williams syndrome: Exploring comprehension, production and repetition skills. Advances in Speech Language Pathology, 9(3), 213–225. https://doi.org/https://doi.org/10.1080/14417040701261517
- Karmiloff-Smith, A. (1998). Development itself is the key to understanding developmental disorders. Trends in Cognitive Sciences, 2(10), 389–398. https://doi.org/https://doi.org/10.1016/S1364-6613(98)01230-3
- Karmiloff-Smith, A. (2009). Nativism versus neuroconstructivism: Rethinking the study of developmental disorders. Developmental Psychology, 45(1), 56–63. https://doi.org/https://doi.org/10.1037/a0014506
- Karmiloff-Smith, A., Brown, J. H., Grice, S., & Paterson, S. (2003). Dethroning the myth: Cognitive dissociations and innate modularity in Williams syndrome. Developmental Neuropsychology, 23(1–2), 227–242. https://doi.org/https://doi.org/10.1080/87565641.2003.9651893
- Karmiloff-Smith, A., Grant, J., Berthoud, I., Davies, M., Howlin, P., & Udwin, O. (1997). Language and Williams syndrome: How intact is ‘intact’? Child Development, 68(2), 246–262. https://doi.org/https://doi.org/10.1111/j.1467-8624.1997.tb01938.x
- Karmiloff-Smith, A., Thomas, M., Annaz, D., Humphreys, K., Ewing, S., Brace, N., Duuren, M., Pike, G., Grice, S., & Campbell, R. (2004). Exploring the Williams syndrome face-processing debate: The importance of building developmental trajectories. Journal of Child Psychology and Psychiatry, 45(7), 1258–1274. https://doi.org/https://doi.org/10.1111/j.1469-7610.2004.00322.x
- Karmiloff-Smith, A., Tyler, L. K., Voice, K., Sims, K., Udwin, O., Howlin, P., & Davies, M. (1998). Linguistic dissociations in Williams syndrome: Evaluating receptive syntax in on-line and off-line tasks. Neuropsychologia, 36(4), 343–351. https://doi.org/https://doi.org/10.1016/S0028-3932(97)00133-4
- Krishnan, S., Bergström, L., Alcock, K. J., Dick, F., & Karmiloff-Smith, A. (2015). Williams syndrome: A surprising deficit in oromotor praxis in a population with proficient language production. Neuropsychologia, 67, 82–90. https://doi.org/https://doi.org/10.1016/j.neuropsychologia.2014.11.032
- Laing, E., Hulme, C., Grant, J., & Karmiloff-Smith, A. (2001). Learning to read in Williams syndrome: Looking beneath the surface of atypical reading development. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 42(6), 729–739. https://doi.org/https://doi.org/10.1111/1469-7610.00769
- Laing, E., & Jarrold, C. (2007). Comprehension of spatial language in Williams syndrome: Evidence for impaired spatial representation of verbal descriptions. Clinical Linguistics & Phonetics, 21(9), 689–704. https://doi.org/https://doi.org/10.1080/02699200701541441
- Lakusta, L., Dessalegn, B., & Landau, B. (2010). Impaired geometric reorientation caused by genetic defect. Proceedings of the National Academy of Sciences, 107(7), 2813–2817. https://doi.org/https://doi.org/10.1073/pnas.0909155107
- Landau, B., & Ferrara, K. (2013). Space and language in Williams syndrome: Insights from typical development. Wiley Interdisciplinary Reviews: Cognitive Science, 4(6), 693–706. https://doi.org/https://doi.org/10.1002/wcs.1258
- Landau, B., & Hoffman, J. E. (2005). Parallels between spatial cognition and spatial language: Evidence from Williams syndrome. Journal of Memory and Language, 53(2), 163–185. https://doi.org/https://doi.org/10.1016/j.jml.2004.05.007
- Landau, B., Hoffman, J. E., & Kurz, N. (2006). Object recognition with severe spatial deficits in Williams syndrome: Sparing and breakdown. Cognition, 100(3), 483–510. https://doi.org/https://doi.org/10.1016/j.cognition.2005.06.005
- Lee, M. D., & Wagenmakers, E.-J. (2014). Bayesian cognitive modeling: A practical course. Cambridge University Press.
- Libertus, M. E., Feigenson, L., Halberda, J., & Landau, B. (2014). Understanding the mapping between numerical approximation and number words: Evidence from Williams syndrome and typical development. Developmental Science, 17(6), 905–919. https://doi.org/https://doi.org/10.1111/desc.12154
- Luce, R. D. (1986). Response times: Their role in inferring elementary mental organization. Oxford University Press.
- Martens, M. A., Wilson, S. J., & Reutens, D. C. (2008). Research review: Williams syndrome: A critical review of the cognitive, behavioral, and neuroanatomical phenotype. Journal of Child Psychology and Psychiatry, 49(6), 576–608. https://doi.org/https://doi.org/10.1111/j.1469-7610.2008.01887.x
- Miletić, S., & van Maanen, L. (2019). Caution in decision-making under time pressure is mediated by timing ability. Cognitive Psychology, 110, 16–29. https://doi.org/https://doi.org/10.1016/j.cogpsych.2019.01.002
- Mobbs, D., Eckert, M. A., Mills, D., Korenberg, J., Bellugi, U., Galaburda, A. M., & Reiss, A. L. (2007). Frontostriatal dysfunction during response inhibition in Williams syndrome. Biological Psychiatry, 62(3), 256–261. https://doi.org/https://doi.org/10.1016/j.biopsych.2006.05.041
- Mulder, M. J., Bos, D., Weusten, J. M. H., van Belle, J., van Dijk, S. C., Simen, P., van Engeland, H., & Durston, S. (2010). Basic impairments in regulating the speed-accuracy tradeoff predict symptoms of attention-deficit/hyperactivity disorder. Biological Psychiatry, 68(12), 1114–1119. https://doi.org/https://doi.org/10.1016/j.biopsych.2010.07.031
- O’Callaghan, C., Hall, J. M., Tomassini, A., Muller, A. J., Walpola, I. C., Moustafa, A. A., Shine, J. M., & Lewis, S. J. G. (2017). Visual hallucinations are characterized by impaired sensory evidence accumulation: Insights from hierarchical drift diffusion modeling in Parkinson’s disease. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(8), 680–688. https://doi.org/https://doi.org/10.1016/j.bpsc.2017.04.007
- Palestro, J. J., Bahg, G., Sederberg, P. B., Lu, Z.-L., Steyvers, M., & Turner, B. M. (2018). A tutorial on joint models of neural and behavioral measures of cognition. Journal of Mathematical Psychology, 84, 20–48. https://doi.org/https://doi.org/10.1016/j.jmp.2018.03.003
- Palomares, M., Landau, B., & Egeth, H. (2009). Orientation perception in Williams syndrome: Discrimination and integration. Brain and Cognition, 70(1), 21–30. https://doi.org/https://doi.org/10.1016/j.bandc.2008.11.007
- Pani, J. R., Mervis, C. B., & Robinson, B. F. (1999). Global spatial organization by individuals with Williams syndrome. Psychological Science, 10(5), 453–458. https://doi.org/https://doi.org/10.1111/1467-9280.00186
- Pedersen, M. L., Frank, M. J., & Biele, G. (2017). The drift diffusion model as the choice rule in reinforcement learning. Psychonomic Bulletin & Review, 24(4), 1234–1251. https://doi.org/https://doi.org/10.3758/s13423-016-1199-y
- Peirce, J. W. (2007). Psychopy—psychophysics software in python. Journal of Neuroscience Methods, 162(1), 8–13. https://doi.org/https://doi.org/10.1016/j.jneumeth.2006.11.017
- Pinker, S. (1999). Words and rules: The ingredients of language. Weidenfeld & Nicolson.
- Pirrone, A., Dickinson, A., Gomez, R., Stafford, T., & Milne, E. (2017). Understanding perceptual judgment in autism spectrum disorder using the drift diffusion model. Neuropsychology, 31(2), 173–180. https://doi.org/https://doi.org/10.1037/neu0000320
- Pober, B. R. (2010). Williams–beuren syndrome. New England Journal of Medicine, 362(3), 239–252. https://doi.org/https://doi.org/10.1056/NEJMra0903074
- Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85(2), 59–108. https://doi.org/https://doi.org/10.1037/0033-295X.85.2.59
- Ratcliff, R., Gomez, P., & McKoon, G. (2004). A diffusion model account of the lexical decision task. Psychological Review, 111(1), 159–182. https://doi.org/https://doi.org/10.1037/0033-295X.111.1.159
- Ratcliff, R., Love, J., Thompson, C. A., & Opfer, J. E. (2012). Children are not like older adults: A diffusion model analysis of developmental changes in speeded responses. Child Development, 83(1), 367–381. https://doi.org/https://doi.org/10.1111/j.1467-8624.2011.01683.x
- Ratcliff, R., Perea, M., Colangelo, A., & Buchanan, L. (2004). A diffusion model account of normal and impaired readers. Brain and Cognition, 55(2), 374–382. https://doi.org/https://doi.org/10.1016/j.bandc.2004.02.051
- Ratcliff, R., & Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychological Science, 9(5), 347–356. https://doi.org/https://doi.org/10.1111/1467-9280.00067
- Ratcliff, R., Schmiedek, F., & McKoon, G. (2008). A diffusion model explanation of the worst performance rule for reaction time and IQ. Intelligence, 36(1), 10–17. https://doi.org/https://doi.org/10.1016/j.intell.2006.12.002
- Ratcliff, R., & Smith, P. L. (2004). A comparison of sequential sampling models for two-choice reaction time. Psychological Review, 111(2), 333–367. https://doi.org/https://doi.org/10.1037/0033-295X.111.2.333
- Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016). Diffusion decision model: Current issues and history. Trends in Cognitive Sciences, 20(4), 260–281. https://doi.org/https://doi.org/10.1016/j.tics.2016.01.007
- Ratcliff, R., Thapar, A., & McKoon, G. (2001). The effects of aging on reaction time in a signal detection task. Psychology and Aging, 16(2), 323–341. https://doi.org/https://doi.org/10.1037/0882-7974.16.2.323
- Ratcliff, R., Thapar, A., & McKoon, G. (2004). A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language, 50(4), 408–424. https://doi.org/https://doi.org/10.1016/J.JML.2003.11.002
- Ratcliff, R., Thapar, A., & McKoon, G. (2007). Application of the diffusion model to two-choice tasks for adults 75–90 years old. Psychology and Aging, 22(1), 56–66. https://doi.org/https://doi.org/10.1037/0882-7974.22.1.56
- Raven, J. C. (1998). The coloured progressive matrices. OUP.
- Robinson, B. F., Mervis, C. B., & Robinson, B. W. (2003). The roles of verbal short-term memory and working memory in the acquisition of grammar by children with Williams syndrome. Developmental Neuropsychology, 23(1–2), 13–31. https://doi.org/https://doi.org/10.1080/87565641.2003.9651885
- Scerif, G., Cornish, K., Wilding, J., Driver, J., & Karmiloff-Smith, A. (2004). Visual search in typically developing toddlers and toddlers with fragile X or Williams syndrome. Developmental Science, 7(1), 116–130. https://doi.org/https://doi.org/10.1111/j.1467-7687.2004.00327.x
- Simos, P. G., Sideridis, G. D., Protopapas, A., & Mouzaki, A. (2011). Psychometric evaluation of a receptive vocabulary test for Greek elementary students. Assessment for Effective Intervention, 37(1), 34–49. https://doi.org/https://doi.org/10.1177/1534508411413254
- Stone, M. (1960). Models for choice-reaction time. Psychometrika, 25(3), 251–260. https://doi.org/https://doi.org/10.1007/BF02289729
- Turner, B. M., Forstmann, B. U., Love, B. C., Palmeri, T. J., & van Maanen, L. (2017). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology, 76, 65–79. https://doi.org/https://doi.org/10.1016/j.jmp.2016.01.001
- Tyler, L. K., Karmiloff-Smith, A., Voice, J. K., Stevens, T., Grant, J., Udwin, O., Davies, M., & Howlin, P. (1997). Do individuals with Williams syndrome have bizarre semantics? Evidence for lexical organization using an on-line task. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 33(3), 515–527. https://doi.org/https://doi.org/10.1016/S0010-9452(08)70233-8
- van Maanen, L., Brown, S. D., Eichele, T., Wagenmakers, E.-J., Ho, T. C., Serences, J. T., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. Journal of Neuroscience, 31(48), 17488–17495. https://doi.org/https://doi.org/10.1523/JNEUROSCI.2924-11.2011
- van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision-making. Behavior Research Methods, 48(1), 184–200. https://doi.org/https://doi.org/10.3758/s13428-015-0563-6
- van Maanen, L., & Miletić, S. (2020). The interpretation of behavior-model correlations in unidentified cognitive models. Psychonomic Bulletin & Review, https://doi.org/https://doi.org/10.3758/s13423-020-01783-y
- van Maanen, L., van Rijn, H., & Taatgen, N. (2012). RACE/a: An architectural account of the interactions between learning, task control, and retrieval dynamics. Cognitive Science, 36(1), 62–101. https://doi.org/https://doi.org/10.1111/j.1551-6709.2011.01213.x
- van Ravenzwaaij, D., Brown, S., & Wagenmakers, E.-J. (2011). An integrated perspective on the relation between response speed and intelligence. Cognition, 119(3), 381–393. https://doi.org/https://doi.org/10.1016/J.COGNITION.2011.02.002
- Vicari, S., Bates, E., Caselli, M. C., Pasqualetti, P., Gagliardi, C., Tonucci, F., & Volterra, V. (2004). Neuropsychological profile of Italians with Williams syndrome: An example of a dissociation between language and cognition? Journal of the International Neuropsychological Society, 10(6), 862–876. https://doi.org/https://doi.org/10.1017/s1355617704106073
- Vicari, S., & Carlesimo, G. A. (2006). Short-term memory deficits are not uniform in Down and Williams syndromes. Neuropsychology Review, 16(2), 87–94. https://doi.org/https://doi.org/10.1007/s11065-006-9008-4
- Voss, A., Nagler, M., & Lerche, V. (2013). Diffusion models in experimental psychology: A practical introduction. Experimental Psychology, 60(6), 385–402. https://doi.org/https://doi.org/10.1027/1618-3169/a000218
- Voss, A., Rothermund, K., & Voss, J. (2004). Interpreting the parameters of the diffusion model: An empirical validation. Memory & Cognition, 32(7), 1206–1220. https://doi.org/https://doi.org/10.3758/BF03196893
- Wagenmakers, E.-J., & Brown, S. (2007). On the linear relation between the mean and the standard deviation of a response time distribution. Psychological Review, 114(3), 830–841. https://doi.org/https://doi.org/10.1037/0033-295X.114.3.830
- Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., & Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25(1), 35–57. https://doi.org/https://doi.org/10.3758/s13423-017-1343-3
- Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language, 58(1), 140–159. https://doi.org/https://doi.org/10.1016/j.jml.2007.04.006
- White, C. N., Ratcliff, R., Vasey, M. W., & McKoon, G. (2010). Using diffusion models to understand clinical disorders. Journal of Mathematical Psychology, 54(1), 39–52. https://doi.org/https://doi.org/10.1016/j.jmp.2010.01.004
- Winkel, J., van Maanen, L., Ratcliff, R., der Schaaf, M. E., Van Schouwenburg, M. R., Cools, R., & Forstmann, B. U. (2012). Bromocriptine does not alter speed-accuracy tradeoff. Frontiers in Decision Neuroscience, 6. https://doi.org/https://doi.org/10.3389/fnins.2012.00126
- Withers, S. (1996). A new clinical sign in Williams syndrome. Archives of Disease in Childhood, 75(1), 89. https://doi.org/https://doi.org/10.1136/adc.75.1.89
- Zeguers, M. H. T., Snellings, P., Tijms, J., Weeda, W. D., Tamboer, P., Bexkens, A., & Huizenga, H. M. (2011). Specifying theories of developmental dyslexia: A diffusion model analysis of word recognition. Developmental Science, 14(6), 1340–1354. https://doi.org/https://doi.org/10.1111/j.1467-7687.2011.01091.x