Abrahamyan, A., Silva, L. L., Dakin, S. C., Carandini, M., & Gardner, J. L. (2016). Adaptable history biases in human perceptual decisions. Proceedings of the National Academy of Sciences, 113(25), E3548–E3557.
Acker, B. E., Pastore, R. E., & Hall, M. D. (1995). Within-category discrimination of musical chords: Perceptual magnet or anchor? Perception & Psychophysics, 57(6), 863–874.
Aguilar, D. (2021). Jsonpickle (Version 2.0.0) [Computer software].
Allaire, J., Ushey, K., Tang, Y., & Eddelbuettel, D. (2017). Reticulate: R interface to Python.
Allport, G. W. (1930). Change and decay in the visual memory image. British Journal of Psychology, 21(2), 133–148.
Alp, N., Kohler, P. J., Kogo, N., Wagemans, J., & Norcia, A. M. (2018). Measuring integration processes in visual symmetry with frequency-tagged EEG. Scientific Reports, 8(1), 6969.
Alvarez, G. A., & Oliva, A. (2008). The representation of simple ensemble visual features outside the focus of attention. Psychological Science, 19(4), 392–398.
Alvarez, L., Gousseau, Y., Morel, J.-M., & Salgado, A. (2015). Exploring the space of abstract textures by principles and random sampling. Journal of Mathematical Imaging and Vision, 53(3), 332–345.
Alvarez, L., Monzón, N., & Morel, J.-M. (2021). Interactive design of random aesthetic abstract textures by composition principles. Leonardo, 54(2), 179–184.
Analytics, R., & Weston, S. (2020). Iterators: Provides iterator construct.
Appelle, S. (1972). Perception and discrimination as a function of stimulus orientation: The "oblique effect" in man and animals. Psychological Bulletin, 78(4), 266–278.
Archambault, A., O’Donnell, C., & Schyns, P. G. (1999). Blind to object changes: When learning the same object at different levels of categorization modifies its perception. Psychological Science, 10(3), 249–255.
Arnheim, R. (1971). Entropy and art: An essay on disorder and order. University of California Press.
Arnheim, R. (1974). Art and visual perception. University of California Press.
Arnheim, R. (1975). Anwendungen gestalttheoretischer Prinzipien auf die Kunst [Applications of Gestalt theoretical principles to art]. In S. Ertel, L. Kemmler, & M. Stadler (Eds.), Gestalttheorie in der modernen Psychologie [Gestalt theory in modern psychology] (pp. 278–284). Steinkopff.
Arnheim, R. (1986). The two faces of Gestalt psychology. American Psychologist, 41(7), 820–824.
Arnheim, R. (1987). Prägnanz and its discontents. Gestalt Theory, 9(2), 102–107.
Arnold, J. B. (2021). Ggthemes: Extra themes, scales and geoms for ’ggplot2’.
Arnoult, M. D. (1960). Prediction of perceptual responses from structural characteristics of the stimulus. Perceptual and Motor Skills, 11(3), 261–268.
Ash, M. G. (1995). Gestalt psychology in German culture, 1890–1967: Holism and the quest for objectivity. Cambridge University Press.
Ashourian, P., & Loewenstein, Y. (2011). Bayesian inference underlies the contraction bias in delayed comparison tasks. PLoS ONE, 6(5), e19551.
Attneave, F. (1955). Symmetry, information, and memory for patterns. The American Journal of Psychology, 68(2), 209–222.
Attneave, F. (1954). Some informational aspects of visual perception. Psychological Review, 61(3), 183–193.
Attneave, F. (1957). Physical determinants of the judged complexity of shapes. Journal of Experimental Psychology, 53(4), 221–227.
Attneave, F., & Arnoult, M. D. (1956). The quantitative study of shape and pattern perception. Psychological Bulletin, 53(6), 452–471.
Aust, F., & Barth, M. (2022). papaja: Prepare reproducible APA journal articles with R Markdown.
Barth, M. (2022). tinylabels: Lightweight variable labels.
Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge University Press.
Bates, D., & Maechler, M. (2021). Matrix: Sparse and dense matrix classes and methods.
Berlyne, D. E. (Ed.). (1960). Conflict, arousal and curiosity. McGraw-Hill.
Berlyne, D. E. (Ed.). (1974). Studies in the new experimental aesthetics: Steps toward an objective psychology of aesthetic appreciation. Hemisphere.
Bertamini, M., & Rampone, G. (2020). The study of symmetry in empirical aesthetics. In M. Nadal & O. Vartanian (Eds.), The Oxford Handbook of Empirical Aesthetics. Oxford University Press.
Best, R. M., & Goldstone, R. L. (2019). Bias to (and away from) the extreme: Comparing two models of categorical perception effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(7), 1166–1176.
Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94(2), 115–147.
Bies, A. J., Blanc-Goldhammer, D. R., Boydston, C. R., Taylor, R. P., & Sereno, M. E. (2016). Aesthetic responses to exact fractals driven by physical complexity. Frontiers in Human Neuroscience, 10.
Bischof, N. (1966). Erkenntnistheoretische Grundlagenprobleme der Wahrnemungspsychologie [Basic epistemological problems of the psychology of perception]. In W. Metzger, R. Bergius, & H. Thomae (Eds.), Allgemeine Psychologie [General psychology]. Hogrefe.
Blake, A. B., Nazarian, M., & Castel, A. D. (2015). The Apple of the mind’s eye: Everyday attention, metamemory, and reconstructive memory for the Apple logo. The Quarterly Journal of Experimental Psychology, 68(5), 858–865.
Bock, H., & Pfeiffer, T. (1987). Prototypikalität von Bedeutungsvarianten des Verbs "überholen" im Lichte der gestalttheoretischen Bezugssystemlehre [Prototypicality of meaning variants of the verb "to overtake" in the light of Gestalt theoretical frame of reference theory]. Gestalt Theory, 9(1), 3–16.
Boeykens, C., Wagemans, J., & Moors, P. (2021). Perception of the ambiguous motion quartet: A stimulus-observer interaction approach. Journal of Vision, 21(13), 12.
Bosch, E., Fritsche, M., Ehinger, B. V., & de Lange, F. P. (2020). Opposite effects of choice history and evidence history resolve a paradox of sequential choice bias. Journal of Vision, 20(12), 9–9.
Brady, T. F., & Alvarez, G. A. (2011). Hierarchical encoding in visual working memory: Ensemble statistics bias memory for individual items. Psychological Science, 22(3), 384–392.
Brascamp, J. W., Knapen, T. H. J., Kanai, R., Noest, A. J., van Ee, R., & van den Berg, A. V. (2008). Multi-timescale perceptual history resolves visual ambiguity. PLOS ONE, 3(1), e1497.
Braun, J., Amirshahi, S. A., Denzler, J., & Redies, C. (2013). Statistical image properties of print advertisements, visual artworks and images of architecture. Frontiers in Psychology, 4.
Brewer, W. F., & Treyens, J. C. (1981). Role of schemata in memory for places. Cognitive Psychology, 13(2), 207–230.
Bürkner, P.-C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1), 1–28.
Bürkner, P.-C. (2018). Advanced Bayesian multilevel modeling with the R package brms. The R Journal, 10(1), 395–411.
Bürkner, P.-C. (2021). Bayesian item response modeling in R with brms and Stan. Journal of Statistical Software, 100(5), 1–54.
Burnett, H. G., & Jellema, T. (2013). (Re-)conceptualisation in Asperger’s syndrome and typical individuals with varying degrees of autistic-like traits. Journal of Autism and Developmental Disorders, 43(1), 211–223.
Caddigan, E., Choo, H., Fei-Fei, L., & Beck, D. M. (2017). Categorization influences detection: A perceptual advantage for representative exemplars of natural scene categories. Journal of Vision, 17(1), 21.
Campitelli, E. (2022). Ggnewscale: Multiple fill and colour scales in ’ggplot2’.
Carmichael, L., Hogan, H. P., & Walter, A. A. (1932). An experimental study of the effect of language on the reproduction of visually perceived form. Journal of Experimental Psychology, 15(1), 73–86.
Carter, O., Snyder, J. S., Fung, S., & Rubin, N. (2014). Using ambiguous plaid stimuli to investigate the influence of immediate prior experience on perception. Attention, Perception, & Psychophysics, 76(1), 133–147.
Chamberlain, R., & Wagemans, J. (2016). The genesis of errors in drawing. Neuroscience & Biobehavioral Reviews, 65, 195–207.
Chater, N. (1996). Reconciling simplicity and likelihood principles in perceptual organization. Psychological Review, 103(3), 566–581.
Chaussé, P. (2010). Computing generalized method of moments and generalized empirical likelihood with R. Journal of Statistical Software, 34(11), 1–35.
Checkosky, S. F., & Whitlock, D. (1973). Effects of pattern goodness on recognition time in a memory search task. Journal of Experimental Psychology, 100(2), 341–348.
Cheng, J., Sievert, C., Schloerke, B., Chang, W., Xie, Y., & Allen, J. (2021). Htmltools: Tools for HTML.
Chetverikov, A., & Kristjánsson, Á. (2016). On the joys of perceiving: Affect as feedback for perceptual predictions. Acta Psychologica, 169, 1–10.
Chipman, S. F. (1977). Complexity and structure in visual patterns. Journal of Experimental Psychology: General, 106(3), 296–301.
Chipman, S. F., & Mendelson, M. J. (1979). Influence of six types of visual structure on complexity judgments in children and adults. Journal of Experimental Psychology: Human Perception and Performance, 5(2), 365–378.
Cicchini, G. M., Mikellidou, K., & Burr, D. (2017). Serial dependencies act directly on perception. Journal of Vision, 17(14), 6.
Claessens, P. M. E., & Wagemans, J. (2008). A Bayesian framework for cue integration in multistable grouping: Proximity, collinearity, and orientation priors in zigzag lattices. Journal of Vision, 8(7), 33.
Clarke, A. D. F., Green, P. R., Halley, F., & Chantler, M. J. (2011). Similar symmetries: The role of wallpaper groups in perceptual texture similarity. Symmetry, 3(2), 246–264.
Clement, D. E. (1964). Uncertainty and latency of verbal naming responses as correlates of pattern goodness. Journal of Verbal Learning and Verbal Behavior, 3(2), 150–157.
Clement, D. E., & Varnadoe, K. W. (1967). Pattern uncertainty and the discrimination of visual patterns. Perception & Psychophysics, 2(9), 427–431.
Cohen, D. J. (2005). Look little, look often: The influence of gaze frequency on drawing accuracy. Perception & Psychophysics, 67(6), 997–1009.
Cohen, D. J., & Bennett, S. (1997). Why can’t most people draw what they see? Journal of Experimental Psychology. Human Perception and Performance, 23(3), 609–621.
Coppola, D. M., Purves, H. R., McCoy, A. N., & Purves, D. (1998). The distribution of oriented contours in the real world. Proceedings of the National Academy of Sciences of the United States of America, 95(7), 4002–4006.
Corbett, J. E., Utochkin, I., & Hochstein, S. (2023). The pervasiveness of ensemble perception: Not just your average review. Elements in Perception.
Corporation, M., & Weston, S. (2020). doParallel: Foreach parallel adaptor for the ’parallel’ package.
Cupchik, G. C., & Berlyne, D. E. (1979). The perception of collative properties in visual stimuli. Scandinavian Journal of Psychology, 20(1), 93–104.
Curray, J. R. (1956). The analysis of two-dimensional orientation data. The Journal of Geology, 64(2), 117–131.
de Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a web browser. Behavior Research Methods, 47(1), 1–12.
Donderi, D. C. (2006). Visual complexity: A review. Psychological Bulletin, 132(1), 73–97.
Dunn, J. C. (1983). Spatial metrics of integral and separable dimensions. Journal of Experimental Psychology, 9(2), 242–257.
Eddelbuettel, D., & Balamuta, J. J. (2018). Extending extitR with extitC++: A Brief Introduction to extitRcpp. The American Statistician, 72(1), 28–36.
Eddelbuettel, D., & François, R. (2011). Rcpp: Seamless R and C++ integration. Journal of Statistical Software, 40(8), 1–18.
Ellis, W. D. (1938). A source book of Gestalt psychology. Routledge & Kegan Paul.
Eysenck, H. J. (1942). The experimental study of the ’good Gestalt’–a new approach. Psychological Review, 49(4), 344–364.
Fan, J. E., Hawkins, R. D., Wu, M., & Goodman, N. D. (2020). Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. Computational Brain & Behavior, 3(1), 86–101.
Fan, J. E., Yamins, D. L. K., & Turk-Browne, N. B. (2018). Common object representations for visual production and recognition. Cognitive Science, 42(8), 2670–2698.
Fechner, G. T. (1860). Elemente der Psychophysik [Elements of psychophysics]. Leipzig: Breitkopf und Härtel.
Fehrer, E. V. (1935). An investigation of the learning of visually perceived forms. The American Journal of Psychology, 47(2), 187–221.
Feldman, J. (2003). What is a visual object? Trends in Cognitive Sciences, 7(6), 252–256.
Feldman, J. (2000). Bias toward regular form in mental shape spaces. Journal of Experimental Psychology: Human Perception and Performance, 26(1), 152–165.
Feldman, J. (2021). Mutual information and categorical perception. Psychological Science, 32(8), 1298–1310.
Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference. Psychological Review, 116(4), 752–782.
Fritsche, M., Mostert, P., & de Lange, F. P. (2017). Opposite effects of recent history on perception and decision. Current Biology: CB, 27(4), 590–595.
Fritsche, M., Spaak, E., & de Lange, F. P. (2020). A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception. eLife, 9, e55389.
Froyen, V., Feldman, J., & Singh, M. (2015). Bayesian hierarchical grouping: Perceptual grouping as mixture estimation. Psychological Review, 122(4), 575–597.
Gallagher, G. K., & Benton, C. P. (2022). Stimulus uncertainty predicts serial dependence in orientation judgements. Journal of Vision, 22(1), 6.
Garner, W. R. (1974). The processing of information and structure. Erlbaum.
Garner, W. R., & Clement, D. E. (1963). Goodness of pattern and pattern uncertainty. Journal of Verbal Learning and Verbal Behavior, 2(5-6), 446–452.
Gartus, A., & Leder, H. (2013). The small step toward asymmetry: Aesthetic judgment of broken symmetries. I-Perception, 4(5), 361–364.
Gati, I., & Tversky, A. (1982). Representations of qualitative and quantitative dimensions. Journal of Experimental Psychology: Human Perception and Performance, 8(2), 325–340.
Genz, A., & Bretz, F. (2009). Computation of multivariate normal and t probabilities. Springer-Verlag.
Gepshtein, S., & Kubovy, M. (2005). Stability and change in perception: Spatial organization in temporal context. Experimental Brain Research, 160(4), 487–495.
Gherman, D. (2021). Svglib (Version 1.1.0) [Computer software].
Gibson, J. J. (1929). The reproduction of visually perceived forms. Journal of Experimental Psychology, 12(1), 1–39.
Gillebert, C. R., Op de Beeck, H. P., & Wagemans, J. (2009). The influence of categorisation on the perceived shape similarity of everyday objects. Psychologica Belgica, 48(4), 261.
Girshick, A. R., Landy, M. S., & Simoncelli, E. P. (2011). Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics. Nature Neuroscience, 14(7), 926–932.
Glanzer, M., & Clark, W. H. (1963). Accuracy of perceptual recall: An analysis of organization. Journal of Verbal Learning & Verbal Behavior, 1, 289–299.
Goetschalckx, L., Moors, P., Vanmarcke, S., & Wagemans, J. (2019). Get the Picture? Goodness of Image Organization Contributes to Image Memorability. Journal of Cognition, 2(1), 22.
Gohel, D., & Skintzos, P. (2021). Ggiraph: Make ’ggplot2’ graphics interactive.
Goldmeier, E. (1937). Über Ähnlichkeit bei gesehenen Figuren [About similarity in seen figures]. Psychologische Forschung, 21, 146–208.
Goldmeier, E. (1972). Similarity in visually perceived forms. Psychological Issues, 8(1).
Goldmeier, E. (1982). The memory trace: Its formation and its fate. Erlbaum.
Goldstone, R. L., & Hendrickson, A. T. (2010). Categorical perception. Wiley Interdisciplinary Reviews: Cognitive Science, 1(1), 69–78.
Gollwitzer, A., Marshall, J., Wang, Y., & Bargh, J. A. (2017). Relating pattern deviancy aversion to stigma and prejudice. Nature Human Behaviour, 1(12), 920–927.
Graf, L. K. M., & Landwehr, J. R. (2015). A dual-process perspective on fluency-based aesthetics: The Pleasure-Interest Model of Aesthetic Liking. Personality and Social Psychology Review, 19(4), 395–410.
Graf, L. K. M., & Landwehr, J. R. (2017). Aesthetic pleasure versus aesthetic interest: The two routes to aesthetic liking. Frontiers in Psychology, 8.
Granit, A. R. (1922). A study on the perception of form. British Journal of Psychology. General Section, 12(3), 223–247.
Grebenkina, M., Brachmann, A., Bertamini, M., Kaduhm, A., & Redies, C. (2018). Edge-orientation entropy predicts preference for diverse types of man-made images. Frontiers in Neuroscience, 12.
Grinband, J., Hirsch, J., & Ferrera, V. P. (2006). A neural representation of categorization uncertainty in the human brain. Neuron, 49(5), 757–763.
Grolemund, G., & Wickham, H. (2011). Dates and times made easy with lubridate. Journal of Statistical Software, 40(3), 1–25.
Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-J., & Steingroever, H. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80–97.
Grünbaum, B., & Shephard, G. C. (1989). Tilings and patterns. W. H. Freeman; company.
Güçlütürk, Y., Jacobs, R. H. A. H., & van Lier, R. (2016). Liking versus complexity: Decomposing the inverted u-curve. Frontiers in Human Neuroscience, 10.
Haaf, J. M., & Rouder, J. N. (2019). Some do and some don’t? Accounting for variability of individual difference structures. Psychonomic Bulletin & Review, 26(3), 772–789.
Hahn, M., & Wei, X.-X. (2022). A unifying theory explains seemingly contradicting biases in perceptual estimation [Preprint]. bioRxiv.
Hamada, J., & Ishihara, T. (1988). Complexity and goodness of dot patterns varying in symmetry. Psychological Research, 50(3), 155–161.
Hammad, S., Juricevic, I., Rajani, S., & Kennedy, J. (2008). Angle illusion on a picture’s surface. Spatial Vision, 21(3-5), 451–462.
Hanley, J. R., & Roberson, D. (2011). Categorical perception effects reflect differences in typicality on within-category trials. Psychonomic Bulletin & Review, 18(2), 355–363.
Harnad, S. (1987). Psychophysical and cognitive aspects of categorical perception: A critical overview. In Categorical perception: The groundwork of cognition. Cambridge University Press.
Harnad, S. (2003). Categorical perception. Encyclopedia of Cognitive Science.
Hartendorp, M. O., Van der Stigchel, S., Burnett, H. G., Jellema, T., Eilers, P. H. C., & Postma, A. (2010). Categorical perception of morphed objects using a free-naming experiment. Visual Cognition, 18(9), 1320–1347.
Hellström, Å. (2007). Temporal asymmetry and "magnet effect"" in similarity and discrimination of prototypical and nonprototypical stimuli: Consequences of differential sensation weighting. Fechner Day 2007: Proceedings of the 23rd Annual Meeting of the International Society for Psychophysics, 283–288.
Hendrickx, M., & Wagemans, J. (1999). A critique of Leyton’s theory of perception and cognition. Review of Symmetry, Causality, Mind, by Michael Leyton. Journal of Mathematical Psychology, 43(2), 314–345.
Henle, M. (1987). On breaking out of dichotomies. Gestalt Theory, 9(3/4), 140–149.
Henry, L., & Wickham, H. (2020). Purrr: Functional programming tools.
Henry, L., Wickham, H., & Chang, W. (2020). Ggstance: Horizontal ’ggplot2’ components.
Hester, J., & Bryan, J. (2022). Glue: Interpreted string literals.
Hochberg, J. (2003). Acts of perceptual inquiry: Problems for any stimulus-based simplicity theory. Acta Psychologica, 114(3), 215–228.
Hochberg, J. (1968). Perception. Prentice Hall.
Hochberg, J., & McAlister, E. (1953). A quantitative approach, to figural "goodness". Journal of Experimental Psychology, 46(5), 361–364.
Hochstein, S., & Ahissar, M. (2002). View from the top: Hierarchies and reverse hierarchies in the visual system. Neuron, 36(5), 791–804.
Hoffman, D. D. (2009). The interface theory of perception: Natural selection drives true perception to swift extinction. In S. J. Dickinson, A. Leonardis, B. Schiele, & M. J. Tarr (Eds.), Object Categorization (pp. 148–166). Cambridge University Press.
Hoffman, D. D., Singh, M., & Prakash, C. (2015). The interface theory of perception. Psychonomic Bulletin & Review, 22(6), 1480–1506.
Holzman, P. S., & Gardner, R. W. (1960). Leveling-sharpening and memory organization. Journal of Abnormal and Social Psychology, 61(2), 176–180.
Hout, M. C., & Goldinger, S. D. (2015). Target templates: The precision of mental representations affects attentional guidance and decision-making in visual search. Attention, Perception, & Psychophysics, 77(1), 128–149.
Huang, L. (2015). Visual features: Featural strength and visual strength are two dissociable dimensions. Scientific Reports, 5(1), 13769.
Huang, L. (2022). FVS 2.0: A unifying framework for understanding the factors of visual-attentional processing. Psychological Review, 129(4), 696–731.
Hubbell, M. B. (1940). Configurational properties consideredgood’ by naive subjects. The American Journal of Psychology, 53(1), 46.
Hübner, R., & Fillinger, M. G. (2016). Comparison of objective measures for predicting perceptual balance and visual aesthetic preference. Frontiers in Psychology, 7.
Hüppe, A. (1984). Prägnanz - ein gestalttheoretischer Grundbegriff: Experimentelle Untersuchungen [Prägnanz - a basic concept in gestalt theory: Experimental investigations]. Profil-Verlag.
Irwin, D. E., & Pachella, R. G. (1985). Effects of stimulus probability and visual similarity on stimulus encoding. The American Journal of Psychology, 98(1), 85.
Jacobsen, T., & Höfel, L. (2002). Aesthetic judgments of novel graphic patterns: Analyses of individual judgments. Perceptual and Motor Skills, 95(3), 755–766.
Jäkel, F., Singh, M., Wichmann, F. A., & Herzog, M. H. (2016). An overview of quantitative approaches in Gestalt perception. Vision Research, 126, 3–8.
Jastrow, J. (1899). The mind’s eye. Popular Science Monthly, 54, 299–312.
Kanai, R., & Rees, G. (2011). The structural basis of inter-individual differences in human behaviour and cognition. Nature Reviews Neuroscience, 12(4), 231–242.
Kanizsa, G. (1975). "Pragnanz" as an obstacle to problem-solving. Giornale Italiano Di Psicologia, 2, 417–425.
Kanizsa, G. (1979). Organization in vision: Essays on Gestalt perception. Praeger.
Kanizsa, G., & Luccio, R. (1986). Die Doppeldeutigkeiten der Prägnanz [The ambiguities of Prägnanz]. Gestalt Theory, 8, 99–135.
Kay, M. (2021a). ggdist: Visualizations of distributions and uncertainty.
Kay, M. (2021b). tidybayes: Tidy data and geoms for Bayesian models.
Kayaert, G., Op de Beeck, H. P., & Wagemans, J. (2011). Dynamic prototypicality effects in visual search. Journal of Experimental Psychology. General, 140(3), 506–519.
Kennedy, G. J., Orbach, H. S., & Loffler, G. (2008). Global shape versus local feature: An angle illusion. Vision Research, 48(11), 1281–1289.
Khayat, N., & Hochstein, S. (2019). Relating categorization to set summary statistics perception. Attention, Perception, & Psychophysics.
Kiyonaga, A., Scimeca, J. M., Bliss, D. P., & Whitney, D. (2017). Serial dependence across perception, attention, and memory. Trends in Cognitive Sciences, 21(7), 493–497.
Koenderink, J. (2014). The All Seeing Eye? Perception, 43(1), 1–6.
Koenderink, J. (2015). Esse est percipi & verum factum est. Psychonomic Bulletin & Review, 22(6), 1530–1534.
Koenderink, J. (2019). Vision, an optical user interface. Perception, 0301006619853758.
Koenderink, J., van Doorn, A., & Pinna, B. (2018). Measures of Prägnanz? Gestalt Theory, 40, 7–28.
Koffka, K. (1935). Principles of Gestalt psychology. Harcourt, Brace.
Koffka, K. (1940). Problems in the psychology of art. In R. Bernheimer (Ed.), Art: A Bryn Mawr symposium (pp. 180–273). New York: Oriole Editions.
Kohler, P. J., Clarke, A., Yakovleva, A., Liu, Y., & Norcia, A. M. (2016). Representation of maximally regular textures in human visual cortex. The Journal of Neuroscience, 36(3), 714–729.
Köhler, W. (1920). Die physischen Gestalten in Ruhe und im stationären Zustand [The physical Gestalten at rest and in stationary state]. Friedr. Vieweg & Sohn.
Köhler, W. (1940). Dynamics in psychology. Liveright.
Köhler, W. (1993). Letter to Abraham S. Luchins (December 6, 1951). "... The principle of Prägnanz is probably in need of a revised formulation...". Gestalt Theory, 15(3–4), 297–298. (Original work published 1951)
Kondo, A., Murai, Y., & Whitney, D. (2022). The test-retest reliability and spatial tuning of serial dependence in orientation perception. Journal of Vision, 22(4), 5.
Koutstaal, W., & Schacter, D. L. (1997). Gist-based false recognition of pictures in older and younger adults. Journal of Memory and Language, 37(4), 555–583.
Krakowski, C.-S., Poirel, N., Vidal, J., Roëll, M., Pineau, A., Borst, G., & Houdé, O. (2016). The forest, the trees, and the leaves: Differences of processing across development. Developmental Psychology, 52(8), 1262–1272.
Kruse, P. (1986). Wie unabhängig ist das Wahrnehmungsobjekt vom Prozeß der Identifikation: Ein Kommentar zu G. Kanizsa und R. Luccio [How independent is the perceptual object from the process of identification: A comment on G. Kanizsa and R. Luccio]. Gestalt Theory, 8(2), 141–143.
Kubilius, J., Sleurs, C., & Wagemans, J. (2017). Sensitivity to nonaccidental configurations of two-line stimuli. I-Perception, 8(2).
Kubilius, J., Wagemans, J., & Op de Beeck, H. P. (2014). Encoding of configural regularity in the human visual system. Journal of Vision, 14(9), 11.
Kubovy, M., & Berg, M. (2002). Oblique effects in grouping: Surprising individual differences. Journal of Vision, 2(7), 480–480.
Kubovy, M., Holcombe, A. O., & Wagemans, J. (1998). On the lawfulness of grouping by proximity. Cognitive Psychology, 35(1), 71–98.
Kubovy, M., & van den Berg, M. (2008). The whole is equal to the sum of its parts: A probabilistic model of grouping by proximity and similarity in regular patterns. Psychological Review, 115(1), 131–154.
Kubovy, M., & Wagemans, J. (1995). Grouping by proximity and multistability in dot lattices: A quantitative Gestalt theory. Psychological Science, 6(4), 225–234.
Kuhl, P. K. (1991). Human adults and human infants show a “perceptual magnet effect” for the prototypes of speech categories, monkeys do not. Perception & Psychophysics, 50(2), 93–107.
Lab, V. (2021). Colour (Version 0.1.5) [Computer software].
Langlois, T. A., Jacoby, N., Suchow, J. W., & Griffiths, T. L. (2021). Serial reproduction reveals the geometry of visuospatial representations. Proceedings of the National Academy of Sciences, 118(13), e2012938118.
Lee, K., Byatt, G., & Rhodes, G. (2000). Caricature effects, distinctiveness, and identification: Testing the face-space framework. Psychological Science, 11(5), 379–385.
Leeuwenberg, E. L. J., & Boselie, F. (1988). Against the likelihood principle in visual form perception. Psychological Review, 95(4), 485–491.
Leeuwenberg, E. L. J., & van der Helm, P. A. (2012). Structural Information Theory: The simplicity of visual form. Cambridge University Press.
Leeuwenberg, E. L. J., & van der Helm, P. A. (1991). Unity and variety in visual form. Perception, 20(5), 595–622.
Legrenzi, P. (1994). Kanizsa’s analysis of "Prägnanz" as an obstacle to problem solving and the theory of mental models. Japanese Psychological Research, 36(3), 121–125.
Leyton, M. (1992). Symmetry, causality, mind. MIT Press.
Lieder, I., Adam, V., Frenkel, O., Jaffe-Dax, S., Sahani, M., & Ahissar, M. (2019). Perceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia. Nature Neuroscience, 22(2), 256–264.
Locher, P. J., Stappers, P. J., & Overbeeke, K. (1998). The role of balance as an organizing design principle underlying adults’ compositional strategies for creating visual displays. Acta Psychologica, 99(2), 141–161.
Long, B., Fan, J. E., Huey, H., Chai, Z., & Frank, M. C. (2021). Parallel developmental changes in children’s production and recognition of line drawings of visual concepts [Preprint]. PsyArXiv.
Long, B., Wang, Y., Christie, S., Frank, M. C., & Fan, J. E. (2022). Developmental consistency in children’s drawings of object categories [Preprint]. PsyArXiv.
Luccio, R. (2019). Perceptual simplicity: The true role of Prägnanz and Occam. Gestalt Theory, 41(3), 263–276.
Luchins, A. S., & Luchins, E. H. (1998). Commentary on Vicario’s "On Wertheimer’s principles of organization". Gestalt Theory, 20(4), 270–282.
Manassi, M., Liberman, A., Kosovicheva, A., Zhang, K., & Whitney, D. (2018). Serial dependence in position occurs at the time of perception. Psychonomic Bulletin & Review, 25(6), 2245–2253.
Mao, J., & Stocker, A. A. (2022). Holistic inference explains human perception of stimulus orientation [Preprint]. bioRxiv.
Mardia, K. V., & Jupp, P. E. (2000). Directional Statistics. Wiley.
Marković, S., & Gvozdenovi, V. (2001). Symmetry, complexity and perceptual economy: Effects of minimum and maximum simplicity conditions. Visual Cognition, 8(3-5), 305–327.
Martin, P., Uy, N., Kvapil, M., & Friedenberg, J. (2020). The aesthetics of frieze patterns A preference for emergent features [Poster].
Mather, G. (2018). Visual image statistics in the history of Western art. Art and Perception, 6(2-3), 97–115.
Mather, G. (2020). Aesthetic image statistics vary with artistic genre. Vision, 4(1), 10.
Mattar, M. G., Carter, M. V., Zebrowitz, M. S., Thompson-Schill, S. L., & Aguirre, G. K. (2018). Individual differences in response precision correlate with adaptation bias. Journal of Vision, 18(13).
Mattar, M. G., Kahn, D. A., Thompson-Schill, S. L., & Aguirre, G. K. (2016). Varying timescales of stimulus integration unite neural adaptation and prototype formation. Current Biology, 26(13), 1669–1676.
Matthews, W. J., & Adams, A. (2008). Another reason why adults find it hard to draw accurately. Perception, 37(4), 628–630.
Mauro, R., & Kubovy, M. (1992). Caricature and face recognition. Memory & Cognition, 20(4), 433–440.
Maus, G. W., Chaney, W., Liberman, A., & Whitney, D. (2013). The challenge of measuring long-term positive aftereffects. Current Biology : CB, 23(10).
Mayer, S. (2021). Imagefluency: Image statistics based on processing fluency. Zenodo.
Mayer, S., & Landwehr, J. R. (2018a). Objective measures of design typicality. Design Studies, 54, 146–161.
Mayer, S., & Landwehr, J. R. (2018b). Quantifying visual aesthetics based on processing fluency theory: Four algorithmic measures for antecedents of aesthetic preferences. Psychology of Aesthetics, Creativity, and the Arts, 12(4), 399–431.
McCloud, S. (1993). Understanding comics: The invisible art. HarperCollins Publishers.
McGovern, D. P., Walsh, K. S., Bell, J., & Newell, F. N. (2017). Individual differences in context-dependent effects reveal common mechanisms underlying the direction aftereffect and direction repulsion. Vision Research, 141, 109–116.
McMurray, B. (2022). The myth of categorical perception [Preprint]. PsyArXiv.
Medin, D. L. (1989). Concepts and conceptual structure. American Psychologist, 44(12), 1469–1481.
Medin, D. L., & Barsalou, L. W. (1987). Categorization processes and categorical perception. In Categorical perception: The groundwork of cognition (pp. 455–490). Cambridge University Press.
Mersmann, O., Trautmann, H., Steuer, D., & Bornkamp, B. (2018). Truncnorm: Truncated normal distribution.
Metzger, W. (1941). Psychologie: Die Entwicklung ihrer Grundannahmen seit der Einführung des Experiments [Psychology: The development of its basic assumptions since the introduction of the experiment.]. Springer-Verlag.
Metzger, W. (1954). Grundbegriffe der Gestaltpsychologie. In Aktuelle Probleme der Gestalttheorie (Ajuriaguerra, Juan de).
Metzger, W. (1966). Figural-wahrnemung [Figural perception]. In W. Metzger, R. Bergius, & H. Thomae (Eds.), Allgemeine Psychologie [General psychology] (pp. 693–744). Hogrefe.
Metzger, W. (1975). Gesetze des Sehens [Laws of seeing] (Third edition). Kramer.
Metzger, W. (2006). Laws of seeing. MIT Press. (Original work published 1936)
Microsoft, & Weston, S. (2020). Foreach: Provides foreach looping construct.
Miller, J., & Schwarz, W. (2018). Implications of individual differences in on-average null effects. Journal of Experimental Psychology: General, 147(3), 377–397.
Miller, M. B., & Gazzaniga, M. S. (1998). Creating false memories for visual scenes. Neuropsychologia, 36(6), 513–520.
Mitchell, P., Ropar, D., Ackroyd, K., & Rajendran, G. (2005). How perception impacts on drawings. Journal of Experimental Psychology: Human Perception and Performance, 31(5), 996–1003.
Moitzi, M. (2021). Svgwrite (Version 1.4.1) [Computer software].
Mollon, J. D., Bosten, J. M., Peterzell, D. H., & Webster, M. A. (2017). Individual differences in visual science: What can be learned and what is good experimental practice? Vision Research, 141, 4–15.
Morey, R. D., & Rouder, J. N. (2018). BayesFactor: Computation of bayes factors for common designs.
Müller, K. (2020). Here: A simpler way to find your files.
Müller, K., & Wickham, H. (2022). Tibble: Simple data frames.
Murdoch, D., & Chow, E. D. (2020). Ellipse: Functions for drawing ellipses and ellipse-like confidence regions.
Muth, C., & Carbon, C.-C. (2013). The Aesthetic Aha: On the pleasure of having insights into Gestalt. Acta Psychologica, 144(1), 25–30.
Muth, C., & Carbon, C.-C. (2016). SeIns: Semantic instability in art. Art and Perception, 4(1-2), 145–184.
Muth, C., Pepperell, R., & Carbon, C.-C. (2013). Give me Gestalt! Preference for cubist artworks revealing high detectability of objects. Leonardo, 46(5), 488–489.
Muth, C., Westphal-Fitch, G., & Carbon, C.-C. (2019). Seeking (dis)order: Ordering appeals but slight disorder and complex order trigger interest. Psychology of Aesthetics, Creativity, and the Arts.
Nadal, M., Munar, E., Marty, G., & Cela-Conde, C. J. (2010). Visual complexity and beauty appreciation: Explaining the divergence of results. Empirical Studies of the Arts, 28(2), 173–191.
Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9(3), 353–383.
Necker, L. A. (1832). Observations on some remarkable optical phaenomena seen in Switzerland; and on an optical phaenomenon which occurs on viewing a figure of a crystal or geometrical solid. London and Edinburgh Philosophical Magazine and Journal of Science. Third Series, 1, 329–337.
Newell, A. (1973). You can’t play 20 questions with nature and win: Projective comments on the papers of this symposium. In Visual Information Processing (pp. 283–308). Elsevier.
Newell, F. N., & Bulthoff, H. H. (2002). Categorical perception of familiar objects. Cognition, 85, 113–143.
Ni, L., & Stocker, A. A. (2023). Efficient sensory encoding predicts robust averaging. Cognition, 232, 105334.
Noel, J.-P., Zhang, L.-Q., Stocker, A. A., & Angelaki, D. E. (2021). Individuals with autism spectrum disorder have altered visual encoding capacity. PLOS Biology, 19(5), e3001215.
Nosofsky, R. M. (1991). Stimulus bias, asymmetric similarity, and classification. Cognitive Psychology, 23(1), 94–140.
Ooms, J. (2021). Magick: Advanced graphics and image-processing in r.
Op de Beeck, H., Wagemans, J., & Vogels, R. (2003a). Asymmetries in stimulus comparisons by monkey and man. Current Biology, 13(20), 1803–1808.
Op de Beeck, H., Wagemans, J., & Vogels, R. (2003b). The effect of category learning on the representation of shape: Dimensions can be biased but not differentiated. Journal of Experimental Psychology: General, 132(4), 491–511.
Ostrofsky, J., Kozbelt, A., & Cohen, D. J. (2015). Observational drawing biases are predicted by biases in perception: Empirical support of the misperception hypothesis of drawing accuracy with respect to two angle illusions. Quarterly Journal of Experimental Psychology, 68(5), 1007–1025.
Ostrofsky, J., Kozbelt, A., & Seidel, A. (2012). Perceptual constancies and visual selection as predictors of realistic drawing skill. Psychology of Aesthetics, Creativity, and the Arts, 6(2), 124–136.
Palmer, S. E. (1982). Symmetry, transformation, and the structure of perceptual systems. In J. Beck (Ed.), Organization and representation in perception (pp. 95–144). Lawrence Erlbaum.
Palmer, S. E. (1991). Goodness, Gestalt, groups, and Garner: Local symmetry subgroups as a theory of figural goodness. In G. R. Lockhead & J. R. Pomerantz (Eds.), The perception of structure: Essays in honor of Wendell R. Garner (pp. 23–39). American Psychological Association.
Palmer, S. E., Schloss, K. B., & Sammartino, J. (2013). Visual aesthetics and human preference. Annual Review of Psychology, 64(1), 77–107.
Panis, S., Wagemans, J., & Op de Beeck, H. P. (2011). Dynamic norm-based encoding for unfamiliar shapes in human visual cortex. Journal of Cognitive Neuroscience, 23(7), 1829–1843.
Pascucci, D., Mancuso, G., Santandrea, E., Libera, C. D., Plomp, G., & Chelazzi, L. (2019). Laws of concatenated perception: Vision goes for novelty, decisions for perseverance. PLOS Biology, 17(3), e3000144.
Pascucci, D., Tanrikulu, Ö. D., Ozkirli, A., Houborg, C., Ceylan, G., Zerr, P., Rafiei, M., & Kristjánsson, Á. (2023). Serial dependence in visual perception: A review. Journal of Vision, 23(1), 9.
Pastore, R. E. (1987). Categorical perception: Some psychophysical models. In Categorical perception: The groundwork of cognition (pp. 29–52). Cambridge University Press.
Patching, G. R., Englund, M. P., & Hellström, Å. (2012). Time- and space-order effects in timed discrimination of brightness and size of paired visual stimuli. Journal of Experimental Psychology: Human Perception and Performance, 38(4), 915–940.
Pedersen, T. L. (2021). Ggforce: Accelerating ’ggplot2’.
Pedersen, T. L. (2022). Patchwork: The composer of plots.
Peirce, J. W. (2007). PsychoPyPsychophysics software in Python. Journal of Neuroscience Methods, 162(1), 8–13.
Pepperell, R. (2018). Art, energy, and the brain. In J. F. Christensen & A. Gomila (Eds.), Progress in Brain Research (Vol. 237, pp. 417–435). Elsevier.
Pérez, F., & Granger, B. E. (2007). IPython: A system for interactive scientific computing. Computing in Science & Engineering, 9(3).
Petermann, B. (1931). Das Gestaltproblem in der Psychologie im Lichte analytischer Besinnung: Ein Versuch zu grundsätzlicher Orientierung [The Gestalt problem in psychology in the light of analytical reflection: An attempt at fundamental orientation]. Verlag von Johann Ambrosius.
Peterson, M. A., & Gibson, B. S. (1994). Object recognition contributions to figure-ground organization: Operations on outlines and subjective contours. Perception & Psychophysics, 56(5), 551–564.
Plummer, M., Best, N., Cowles, K., & Vines, K. (2006). CODA: Convergence diagnosis and output analysis for MCMC. R News, 6(1), 7–11.
Poirel, N., Pineau, A., & Mellet, E. (2006). Implicit identification of irrelevant local objects interacts with global/local processing of hierarchical stimuli. Acta Psychologica, 122(3), 321–336.
Polk, T. A., Behensky, C., Gonzalez, R., & Smith, E. E. (2002). Rating the similarity of simple perceptual stimuli: Asymmetries induced by manipulating exposure frequency. Cognition, 82(3), B75–B88.
Pomerantz, J. R. (1977). Pattern goodness and speed of encoding. Memory & Cognition, 5(2), 235–241.
Pomerantz, J. R., & Garner, W. R. (1973). The role of configuration and target discriminability in a visual search task. Memory & Cognition, 1(1), 64–68.
Pomerantz, J. R., & Kubovy, M. (1986). Theoretical approaches to perceptual organization: Simplicity and likelihood principles. In Handbook of perception and human performance, Vol. 2: Cognitive processes and performance. (pp. 1–46). John Wiley & Sons.
Port, A. (2021). Svgpathtools (Version 1.4.1) [Computer software].
Post, R. A. G., Blijlevens, J., & Hekkert, P. (2016). To preserve unity while almost allowing for chaos”: Testing the aesthetic principle of unity-in-variety in product design. Acta Psychologica, 163, 142–152.
Prasad, D., & Bainbridge, W. A. (2022). The visual Mandela effect as evidence for shared and specific false memories across people. Psychological Science, 33(12), 1971–1988.
Quinlan, P. T., & Wilton, R. N. (1998). Grouping by proximity or similarity? Competition between the Gestalt principles in vision. Perception, 27(4), 417–430.
Quinn, P. C. (2000). Perceptual reference points for form and orientation in young infants: Anchors or magnets? Perception & Psychophysics, 62(8), 1625–1633.
R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Rausch, E. (1952). Struktur und Metrik figural-optischer Wahrnehmung [Structure and metrics of figural-optical perception]. Verlag Dr. Waldemar Kramer.
Rausch, E. (1966). Das Eigenschaftsproblem in der Gestalttheorie der Wahrnemung [The property problem in the Gestalt theory of perception]. In W. Metzger, R. Bergius, & H. Thomae (Eds.), Allgemeine Psychologie [General psychology] (pp. 866–953). Hogrefe.
Rausch, E. (1979/1992). Neun Wünsche an die Zukunft der Psychologie (Auszugsweiser Nachdruck eines 1979 erschienenen Gesprächs mit E. Rausch) [Nine wishes for the future of psychology (Excerpt reprint of a 1979 reprint of a conversation with E. Rausch published in 1979)]. Gestalt Theory, 14(2), 143–144.
Rauschenberger, R., & Yantis, S. (2006). Perceptual encoding efficiency in visual search. Journal of Experimental Psychology: General, 135(1), 116–131.
Redies, C., Brachmann, A., & Wagemans, J. (2017). High entropy of edge orientations characterizes visual artworks from diverse cultural backgrounds. Vision Research, 133, 130–144.
Regebro, L. (2021). Svg.path (Version 4.1) [Computer software].
Repp, B. H., & Liberman, A. M. (1987). Phonetic category boundaries are flexible. In Categorical perception: The groundwork of cognition (pp. 89–112). Cambridge University Press.
Rhodes, G., Brennan, S., & Carey, S. (1987). Identification and ratings of caricatures: Implications for mental representations of faces. Cognitive Psychology, 19(4), 473–497.
Rhodes, G., & McLean, I. G. (1990). Distinctiveness and expertise effects with homogeneous stimuli: Towards a model of configural coding. Perception, 19(6), 773–794.
Riou, B., Lesourd, M., Brunel, L., & Versace, R. (2011). Visual memory and visual perception: When memory improves visual search. Memory & Cognition, 39(6), 1094–1102.
Roberson, D., Damjanovic, L., & Pilling, M. (2007). Categorical perception of facial expressions: Evidence for a “category adjustment” model. Memory & Cognition, 35(7), 1814–1829.
Roberson, D., Hanley, J. R., & Pak, H. (2009). Thresholds for color discrimination in English and Korean speakers. Cognition, 112(3), 482–487.
Robert, M. B. L. (1999). A unified account of the effects of caricaturing faces. Visual Cognition, 6(1), 1–42.
Robinson, A., Becker, R., the ReportLab team, & the community. (2021). Reportlab: The Reportlab Toolkit (Version 3.6.1) [Computer software].
Rodríguez, J., Bortfeld, H., Rudomín, I., Hernández, B., & Gutiérrez-Osuna, R. (2009). The reverse-caricature effect revisited: Familiarization with frontal facial caricatures improves veridical face recognition. Applied Cognitive Psychology, 23(5), 733–742.
Roediger III, H. L., & McDermott, K. B. (1995). Creating false memories: Remembering words not presented in lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(4), 803–814.
Rogers, B. (2014). Delusions about Illusions. Perception, 43(9), 840–845.
Rosch, E. (1973). On the internal structure of perceptual and semantic categories. In T. E. Moore (Ed.), Cognitive development and acquisition of language (pp. 111–144). Academic Press.
Rosch, E. (1975). Cognitive reference points. Cognitive Psychology, 7(4), 532–547.
Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27–48). Lawrence Erlbaum.
Rosielle, L. J., & Hite, L. A. (2009). The caricature effect in drawing: Evidence for the use of categorical relations when drawing abstract pictures. Perception, 38(3), 357–375.
Rouder, J. N. (2019). On the interpretation of Bayes Factors: A reply to de Heide and Grunwald [Preprint]. PsyArXiv.
Rouder, J. N. (2014). Optional stopping: No problem for Bayesians. Psychonomic Bulletin & Review, 21(2), 301–308.
Rouder, J. N., & Haaf, J. M. (2019). A psychometrics of individual differences in experimental tasks. Psychonomic Bulletin & Review, 26(2), 452–467.
Sablé-Meyer, M., Fagot, J., Caparos, S., van Kerkoerle, T., Amalric, M., & Dehaene, S. (2021). Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity. Proceedings of the National Academy of Sciences, 118(16), e2023123118.
Sadil, P., Cowell, R., & Huber, D. E. (2021). The push-pull of serial dependence effects: Attraction to the prior response and repulsion from the prior stimulus [Preprint]. PsyArXiv.
Samuel, A. G. (1982). Phonetic prototypes. Perception & Psychophysics, 31(4), 307–314.
Schloerke, B., Cook, D., Larmarange, J., Briatte, F., Marbach, M., Thoen, E., Elberg, A., & Crowley, J. (2021). GGally: Extension to ’ggplot2’.
Schönbrodt, F. D., & Wagenmakers, E.-J. (2018). Bayes factor design analysis: Planning for compelling evidence. Psychonomic Bulletin & Review, 25(1), 128–142.
Schönbrodt, F. D., Wagenmakers, E.-J., Zehetleitner, M., & Perugini, M. (2017). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods, 22(2), 322–339.
Schumann, F. (1914). Bericht über den VI. Kongreß für experimentelle Psychologie in Göttingen vom 15. Bis 18. April 1914 [Report on the VI Congress of Experimental Psychology in Göttingen from April 15 to 18, 1914].
Schurger, A., Sarigiannidis, I., Naccache, L., Sitt, J. D., & Dehaene, S. (2015). Cortical activity is more stable when sensory stimuli are consciously perceived. Proceedings of the National Academy of Sciences, 112(16), E2083–E2092.
Schurgin, M. W., Wixted, J. T., & Brady, T. F. (2020). Psychophysical scaling reveals a unified theory of visual memory strength. Nature Human Behaviour, 1–17.
Schwiedrzik, C. M., Ruff, C. C., Lazar, A., Leitner, F. C., Singer, W., & Melloni, L. (2014). Untangling perceptual memory: Hysteresis and adaptation map into separate cortical networks. Cerebral Cortex, 24(5), 1152–1164.
Schwiedrzik, C. M., Sudmann, S. S., Thesen, T., Wang, X., Groppe, D. M., Mégevand, P., Doyle, W., Mehta, A. D., Devinsky, O., & Melloni, L. (2018). Medial prefrontal cortex supports perceptual memory. Current Biology, 28(18), R1094–R1095.
Seamon, J. G., Luo, C. R., Schlegel, S. E., Greene, S. E., & Goldenberg, A. B. (2000). False memory for categorized pictures and words: The category associates procedure for studying memory errors in children and adults. Journal of Memory and Language, 42(1), 120–146.
Sheehan, T. C., & Serences, J. T. (2023). Distinguishing response from stimulus driven history biases [Preprint]. bioRxiv.
Shepard, R. (1987). Toward a universal law of generalization for psychological science. Science, 237(4820), 1317–1323.
Shier, J. (2011). Filling space with random fractal non-overlapping simple shapes. 10.
Shier, J., & Bourke, P. (2013). An algorithm for random fractal filling of space: An algorithm for random fractal filling of space. Computer Graphics Forum, 32(8), 89–97.
Sims, C. R. (2018). Efficient coding explains the universal law of generalization in human perception. Science, 360(6389), 652–656.
Smets, G. (1973). Aesthetic judgment and arousal: An experimental contribution to psycho-aesthetics. Leuven University Press.
Smith, B. (Ed.). (1988). Foundations of Gestalt theory. Philosophia Verlag.
Snyder, H. K., Rafferty, S. M., Haaf, J. M., & Rouder, J. N. (2019). Common or distinct attention mechanisms for contrast and assimilation? Attention, Perception, & Psychophysics, 81(6), 1944–1950.
Snyder, J. S., Schwiedrzik, C. M., Vitela, A. D., & Melloni, L. (2015). How previous experience shapes perception in different sensory modalities. Frontiers in Human Neuroscience, 9, 594.
Song, C., Schwarzkopf, D. S., Lutti, A., Li, B., Kanai, R., & Rees, G. (2013). Effective connectivity within human primary visual cortex predicts interindividual diversity in illusory perception. Journal of Neuroscience, 33(48), 18781–18791.
Song, C., Schwarzkopf, D. S., & Rees, G. (2013). Variability in visual cortex size reflects tradeoff between local orientation sensitivity and global orientation modulation. Nature Communications, 4(1), 2201.
Sorge, S. (1940). Neue versuche über die wiedergabe abstrakter optischer gebilde [New experiments on the reproduction of abstract optical formations]. Archiv für die gesamte Psychologie, 106, 1–88.
Spehar, B., Walker, N., & Taylor, R. P. (2016). Taxonomy of individual variations in aesthetic responses to fractal patterns. Frontiers in Human Neuroscience, 10.
Spröte, P., Schmidt, F., & Fleming, R. W. (2016). Visual perception of shape altered by inferred causal history. Scientific Reports, 6(1), 36245.
Stadler, M., Stegnano, L., & Trombini, G. (1979). Quantitative Analyse der Rauschschen Prägnanzaspekte [quantitative analysis of Rausch’ Prägnanz aspects]. Gestalt Theory, 1, 28–40.
Stan Development Team. (2020a). RStan: The R interface to Stan.
Stan Development Team. (2020b). StanHeaders: Headers for the R interface to Stan.
Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science, 11(5), 702–712.
Stein, H., Barbosa, J., Rosa-Justicia, M., Prades, L., Morató, A., Galan-Gadea, A., Ariño, H., Martinez-Hernandez, E., Castro-Fornieles, J., Dalmau, J., & Compte, A. (2020). Reduced serial dependence suggests deficits in synaptic potentiation in anti-NMDAR encephalitis and schizophrenia. Nature Communications, 11(1), 4250.
Stevenage, S. V. (1995). Can caricatures really produce distinctiveness effects? British Journal of Psychology, 86(1), 127–146.
Strother, L., & Kubovy, M. (2006). On the surprising salience of curvature in grouping by proximity. Journal of Experimental Psychology: Human Perception and Performance, 32(2), 226–234.
Strother, L., & Kubovy, M. (2012). Structural salience and the nonaccidentality of a Gestalt. Journal of Experimental Psychology: Human Perception and Performance, 38(4), 827–832.
Sun, Z., & Firestone, C. (2021). Curious objects: How visual complexity guides attention and engagement. Cognitive Science, 45(4).
Sundqvist, F. (2003). Perceptual dynamics: Theoretical foundations and philosophical implications of Gestalt psychology [PhD thesis]. Göteborg University; Acta Universitatis Gothoburgensis.
Taubert, J., Alais, D., & Burr, D. (2016). Different coding strategies for the perception of stable and changeable facial attributes. Scientific Reports, 6(1), 32239.
Telenczuk, B. (2021). Svgutils (Version 0.3.4) [Computer software].
Thomas, B. G. (2012). 15 - Colour symmetry: The systematic coloration of patterns and tilings. In J. Best (Ed.), Colour Design (pp. 381–432). Woodhead Publishing.
Tiedemann, F. (2020). Gghalves: Compose half-half plots using your favourite geoms.
Tinbergen, N. (1951). The study of instinct. Clarendon Press.
Tomassini, A., Morgan, M. J., & Solomon, J. A. (2010). Orientation uncertainty reduces perceived obliquity. Vision Research, 50(5), 541–547.
Tversky, A. (1977). Features of similarity. Psychological Review, 84, 327–352.
Urai, A. E., Braun, A., & Donner, T. H. (2017). Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias. Nature Communications, 8(1), 14637.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014). Precise minds in uncertain worlds: Predictive coding in autism. Psychological Review, 121(4), 649–675.
Van de Cruys, S., & Wagemans, J. (2011). Putting reward in art: A tentative prediction error account of visual art. I-Perception, 2(9), 1035–1062.
van der Helm, P. A. (2000). Simplicity versus likelihood in visual perception: From surprisals to precisals. Psychological Bulletin, 126(5), 770–800.
van der Helm, P. A. (2017). On Bayesian simplicity in human visual perceptual organization. Perception, 46(11), 1269–1282.
Van der Hulst, E., Van Geert, E., & Wagemans, J. (in preparation). Shape variation in proximity grouping: An individual differences approach.
Van der Hulst, E., van Heusden, E., Wagemans, J., & Moors, P. (2022). Grouping by proximity and luminance similarity is additive for everyone: An analysis of individual differences in grouping sensitivity. Retrieved from
Van Geert, E., Bossens, C., & Wagemans, J. (2022). The Order & Complexity Toolbox for Aesthetics (OCTA): A systematic approach to study the relations between order, complexity, and aesthetic appreciation. Behavior Research Methods.
Van Geert, E., Ding, R., & Wagemans, J. (2021). A cross-cultural comparison of aesthetic preferences for neatly organized compositions: Native Chinese- vs. native Dutch-speaking samples [Preprint]. PsyArXiv.
Van Geert, E., Frérart, L., & Wagemans, J. (2022). Towards the most prägnant Gestalt: Leveling and sharpening as contextually dependent adaptive strategies [Preprint]. PsyArXiv.
Van Geert, E., Hofmann, D., & Wagemans, J. (in preparation). The perception and appreciation of order and complexity.
Van Geert, E., Moors, P., Haaf, J., & Wagemans, J. (2022). Same stimulus, same temporal context, different percept? Individual differences in hysteresis and adaptation when perceiving multistable dot lattices. I-Perception, 13(4), 20416695221109300.
Van Geert, E., & Wagemans, J. (2020). Order, complexity, and aesthetic appreciation. Psychology of Aesthetics, Creativity, and the Arts, 14(2), 135–154.
Van Geert, E., & Wagemans, J. (2021). Order, complexity, and aesthetic preferences for neatly organized compositions. Psychology of Aesthetics, Creativity, and the Arts, 15(3), 484–504.
Van Geert, E., & Wagemans, J. (2022). What good is goodness? The effects of reference points on discrimination and categorization of shapes [Preprint]. PsyArXiv.
Van Geert, E., & Wagemans, J. (2023). Prägnanz in visual perception [Preprint]. PsyArXiv.
Van Geert, E., & Wagemans, J. (in preparation a). Pre-existing categorization diminishes attractive and repulsive temporal history effects on perception.
Van Geert, E., & Wagemans, J. (in preparation b). Individual differences in the use of perceptual history in the visual categorization of abstract shapes.
Van Geert, E., Warny, A., & Wagemans, J. (in preparation). A systematic approach to study preferences for complexity.
van Leeuwen, C. (1990). Perceptual-learning systems as conservative structures: Is economy an attractor? Psychological Research, 52(2), 145–152.
van Lier, R., van der Helm, P., & Leeuwenberg, E. L. J. (1994). Integrating global and local aspects of visual occlusion. Perception, 23(8), 883–903.
Van Rossum, G., & Drake Jr, F. L. (1995). Python reference manual. Centrum voor Wiskunde en Informatica Amsterdam.
Van Rossum, G., & Drake Jr, F. L. (2009). Python 3 reference manual. CreateSpace.
Vanderplas, J. M., & Garvin, E. A. (1959). Complexity, association value, and practice as factors in shape recognition following paired-associates training. Journal of Experimental Psychology, 57(3), 155–163.
Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with s (Fourth). Springer.
vgalin. (2021). html2image (Version 1.1.2) [Computer software].
von Ehrenfels, C. (1916). Höhe und Reinheit der Gestalt [Height and purity of Gestalt]. In Kosmogonie [Cosmogony] (pp. 93–96). Diederichs.
von Ehrenfels, C. (1922). Das Primzahlengesetz, entwickelt und dargestellt auf Grund der Gestalttheorie [The prime number law, developed and presented on the basis of the Gestalt theory]. O. R. Reisland.
von Ehrenfels, C. (1937). Über Gestaltqualitäten (1932) [On Gestalt qualities]. Philosophia (Belgrad), 2, 139–141. (Original work published 1932)
Wagemans, J. (1992). Perceptual use of nonaccidental properties. Canadian Journal of Psychology/Revue Canadienne de Psychologie, 46(2), 236–279.
Wagemans, J. (2015). Historical and conceptual background: Gestalt theory. In J. Wagemans (Ed.), The Oxford Handbook of Perceptual Organization. Oxford University Press.
Wagemans, J. (2018). Perceptual organization. In The Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience: Vol. 2. Sensation, Perception & Attention (pp. 803–872). John Wiley & Sons, Inc.
Wagemans, J., Bossche, P. V., Segers, N., & d’Ydewalle, G. (1994). An affine group model and the perception of orthographically projected planar random polygons. Journal of Mathematical Psychology, 38(1), 59–72.
Wagemans, J., Claessens, P. M. E., & Moors, P. (2018). Perceptual grouping in dot lattices revisited [41st European Conference on Visual Perception (ECVP)]. Abstract published in Perception, 48(S1) (Supplement).
Wagemans, J., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & Heydt, R. von der. (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization. Psychological Bulletin, 138(6), 1172–1217.
Wagemans, J., Feldman, J., Gepshtein, S., Kimchi, R., Pomerantz, J. R., van der Helm, P. A., & van Leeuwen, C. (2012). A century of Gestalt psychology in visual perception: II. Conceptual and theoretical foundations. Psychological Bulletin, 138(6), 1218–1252.
Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage method. Cognitive Psychology, 60(3), 158–189.
Wei, X.-X., & Stocker, A. A. (2015). A Bayesian observer model constrained by efficient coding can explain ’anti-Bayesian’ percepts. Nature Neuroscience, 18(10), 1509–1517.
Wei, X.-X., & Stocker, A. A. (2017). Lawful relation between perceptual bias and discriminability. Proceedings of the National Academy of Sciences, 114(38), 10244–10249.
Wellek, A. (1959). Das Prägnanzproblem der Gestaltpsychologie und das "Exemplarische" in der Pädagogik [The problem of Prägnanz in Gestalt psychology and the "exemplary" in pedagogy]. Zeitschrift für experimentelle und angewandte Psychologie, 6, 722–736.
Wertheimer, M. (1912). Über das Denken der Naturvölker. I. Zahlen und Zahlgebilde [About the thinking of people who live close to nature. I. Numbers and number formations.]. Zeitschrift für Psychologie, 60, 321–378.
Wertheimer, M. (1922). Untersuchungen zur Lehre von der Gestalt. I. Prinzipielle Bemerkungen [Investigations into the teachings of Gestalt. I. Remarks on its principles]. Psychologische Forschung, 1, 47–58.
Wertheimer, M. (1923). Untersuchungen zur Lehre von der Gestalt. II [Investigations into the teachings of Gestalt. II. Psychological research]. Psychologische Forschung, 4, 301–350.
Wertheimer, M. (1959). Productive thinking. Harper.
Wertheimer, M. (1999). Gestalt theory. Gestalt Theory, 21, 181–183. (Original work published 1924)
Wertheimer, M., Spillmann, L., Sarris, V., & Sekuler, R. (2012). On perceived motion and figural organization. MIT Press.
Westphal-Fitch, G., Huber, L., Gómez, J. C., & Fitch, W. T. (2012). Production and perception rules underlying visual patterns: Effects of symmetry and hierarchy. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1598), 2007–2022.
Wexler, M., Duyck, M., & Mamassian, P. (2015). Persistent states in vision break universality and time invariance. Proceedings of the National Academy of Sciences, 112(48), 14990–14995.
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York.
Wickham, H. (2019). Stringr: Simple, consistent wrappers for common string operations.
Wickham, H. (2022a). Forcats: Tools for working with categorical variables (factors).
Wickham, H. (2022b). Modelr: Modelling functions that work with the pipe.
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686.
Wickham, H., & Bryan, J. (2022). Readxl: Read excel files.
Wickham, H., Bryan, J., & Barrett, M. (2021). Usethis: Automate package and project setup.
Wickham, H., François, R., Henry, L., & Müller, K. (2022). Dplyr: A grammar of data manipulation.
Wickham, H., & Girlich, M. (2022). Tidyr: Tidy messy data.
Wickham, H., Hester, J., & Bryan, J. (2022). Readr: Read rectangular text data.
Wickham, H., Hester, J., Chang, W., & Bryan, J. (2021). Devtools: Tools to make developing r packages easier.
Wilhelm, S., & G, M. B. (2022). tmvtnorm: Truncated multivariate normal and student t distribution.
Wilke, C. O. (2020). Cowplot: Streamlined plot theme and plot annotations for ’ggplot2’.
Wilson, A., & Chatterjee, A. (2005). The assessment of preference for balance: Introducing a new test. Empirical Studies of the Arts, 23(2), 165–180.
Wohlfahrt, E. (1932). Der Auffassungsvorgang an kleinen Gestalten; Ein Beitrag zur Psychologie des Vorgestaltserlebnisses [the perceptual process of small figures; A contribution to the psychology of pre-Gestalt experience. Neue Psychologische Studien, 4, 347–414.
Wulf, F. (1922). Beiträge zur Psychologie der Gestalt. VI. Über die Veränderung yon Vorstellungen (Gedächtnis und Gestalt) [Contributions to the Psychology of Gestalt. VI. On the change of ideas (Memory and Gestalt)]. Psychologische Forschung, 1(1), 333–373.
Xie, Y. (2015). Dynamic documents with R and knitr (2nd ed.). Chapman; Hall/CRC.
Yang, J., & Fan, J. (2021). Visual communication of object concepts at different levels of abstraction. Journal of Vision, 21(9), 2951.
Yu, G. (2022). Ggimage: Use image in ’ggplot2’.
Zeileis, A. (2004). Econometric computing with HC and HAC covariance matrix estimators. Journal of Statistical Software, 11(10), 1–17.
Zeileis, A. (2006). Object-oriented computation of sandwich estimators. Journal of Statistical Software, 16(9), 1–16.
Zeileis, A., Köll, S., & Graham, N. (2020). Various versatile variances: An object-oriented implementation of clustered covariances in R. Journal of Statistical Software, 95(1), 1–36.
Zhang, H., & Alais, D. (2020). Individual difference in serial dependence results from opposite influences of perceptual choices and motor responses. Journal of Vision, 20(8), 2.
Zhu, H. (2021). kableExtra: Construct complex table with ’kable’ and pipe syntax.
Zimmer, A. C. (1991). The complementarity of singularity and stability. A comment on Kanizsa & Luccio’s "Analysis of the concept of Prägnanz" (1986). Gestalt Theory, 13(4), 276–282.