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Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli

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The Fractal Geometry of the Brain

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI))

Abstract

Humans are continually exposed to the rich visual complexity generated by the repetition of fractal patterns at different size scales. Fractals are prevalent in natural scenery and in patterns generated by artists and mathematicians. In this chapter, we will investigate the powerful significance of fractals for the human visual system. In particular, we propose that fractals with midrange complexity (D = 1.3–1.5 measured on a scale between D = 1.1 for low complexity and D = 1.9 for high complexity) play a unique role in our visual experiences because the visual system has adapted to these prevalent natural patterns. This adaption is evident at multiple stages of the visual system, ranging from data acquisition by the eye to processing of this data in the higher visual areas of the brain. For example, eye-movement studies show that the eye traces out mid-D fractal trajectories that facilitate visual searches through fractal scenery. Furthermore, quantitative electroencephalography (qEEG) and preliminary fMRI investigations demonstrate that mid-D fractals induce distinctly different neurophysiological responses than less prevalent fractals. Based on these results, we will discuss a fluency model in which the visual system processes mid-D fractals with relative ease. This fluency optimizes the observer’s capabilities (such as enhanced attention and pattern recognition) and generates an aesthetic experience accompanied by a reduction in the observer’s physiological stress levels. In addition to exploring the fundamental science of our visual system, the results have important practical consequences. For example, mid-D fractals have the potential to address stress-related illnesses.

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References

  1. Aks D, Sprott J. Quantifying aesthetic preference for chaotic patterns. Empir Stud Arts. 1996;14:1–16.

    Article  Google Scholar 

  2. Birkhoff GD. Aesthetic measure. Cambridge: Harvard University Press; 1933.

    Book  Google Scholar 

  3. Cutting JE, Garvin JJ. Fractal curves and complexity. Percept Psychophys. 1987;42:365–70.

    Article  CAS  PubMed  Google Scholar 

  4. Fairbanks MS, Taylor RP. Scaling analysis of spatial and temporal patterns: from the human eye to the foraging albatross. In: Non-linear dynamical analysis for the behavioral sciences using real data. Boca Raton: Taylor and Francis Group; 2011.

    Google Scholar 

  5. Field DJ, Brady N. Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes. Vision Res. 1997;37:3367–83.

    Article  CAS  PubMed  Google Scholar 

  6. Geake J, Landini G. Individual differences in the perception of fractal curves. Fractals. 1997;5:129–43.

    Article  Google Scholar 

  7. Hagerhall CM, Laike T, Küller M, Marcheschi E, Boydston C, Taylor RP. Human physiological benefits of viewing nature: EEG response to exact and statistical fractal patterns. J Nonlinear Dyn Psychol Life Sci. 2015;19:1–12.

    CAS  Google Scholar 

  8. Hagerhall CM, Laike T, Taylor RP, Küller M, Küller R, Martin TP. Investigation of EEG response to fractal patterns. Perception. 2008;37:1488–94.

    Article  PubMed  Google Scholar 

  9. Hagerhall CM, Purcell T, Taylor RP. Fractal dimension of landscape silhouette outlines as a predictor of landscape preference. J Environ Psychol. 2004;24:247–55.

    Article  Google Scholar 

  10. Knill DC, Field D, Kersten D. Human discrimination of fractal images. J Opt Soc Am. 1990;77:1113–23.

    Article  Google Scholar 

  11. Kolb B, Whishaw IQ. Fundamentals of human neuropsychology. New York: Worth Publishers; 2003.

    Google Scholar 

  12. Marlow CA, Viskontas IV, Matlin A, Boydston C, Boxer A, Taylor RP. Temporal structure of human gaze dynamics is invariant during free viewing. PLoS One. 2015;10:e0139379.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Moon P, Murday J, Raynor S, Schirillo J, Fairbanks MS, Taylor RP. Fractal images induce fractal pupil dilations. Int J Psychophysiol. 2014;93:316–21.

    Article  CAS  PubMed  Google Scholar 

  14. Spehar B, Clifford C, Newell B, Taylor RP. Universal aesthetic of fractals. Chaos Graph. 2003;37:813–20.

    Google Scholar 

  15. Spehar B, Taylor RP. Fractals in art and nature: why do we like them? SPIE Electron Imaging. 2013;865:1–18.

    Google Scholar 

  16. Spehar B, Wong S, van de Klundert S, Lui J, Clifford CWG, Taylor RP. Beauty and the beholder: the role of visual sensitivity in visual preference. Front Hum Neurosci. 2015;9:1–12.

    Article  Google Scholar 

  17. Taylor RP. Splashdown. New Sci. 1998;2144:30–1.

    Google Scholar 

  18. Taylor RP. Reduction of physiological stress using fractal art and architecture. Leonardo. 2006;39:245–51.

    Article  Google Scholar 

  19. Taylor RP. Across the cultural divide. Nature. 2010;463:431.

    Article  CAS  Google Scholar 

  20. Taylor RP, Guzman R, Martin TM, Hall G, Micolich AP, Jonas D, Scannell BC, Fairbanks MS, Marlow CA. Authenticating Pollock paintings with fractal geometry. Pattern Recognit Lett. 2007;28:695–702.

    Article  Google Scholar 

  21. Taylor RP, Micolich AP, Jonas D. Fractal analysis of Pollock’s drip paintings. Nature. 1999;399:422.

    Article  CAS  Google Scholar 

  22. Taylor RP, Spehar B, von Donkelaar P, Hagerhall CM. Perceptual and physiological responses to Jackson Pollock’s fractals. Front Hum Neurosci. 2011;5:1–13.

    Article  Google Scholar 

  23. Taylor RP, Sprott JC. Biophilic fractals and the visual journey of organic screen-savers. J Non-linear Dyn Psychol Life Sci. 2008;12:117–29.

    CAS  Google Scholar 

  24. Ulrich RS. Natural versus urban scenes: some psychophysiological effects. Environ Behav. 1981;13:523–56.

    Article  Google Scholar 

  25. Ulrich RS. Biophilia, biophobia and natural landscapes. In: The biophilia hypothesis. Washington, DC: Island Press; 1993.

    Google Scholar 

  26. Ulrich RS, Simons RF. Recovery from stress during exposure to everyday outdoor environments. Proc EDRA. 1986;17:115–22.

    Google Scholar 

  27. Viswanathan GM, Afanasyev V, Buldyrev SV, Murphy EJ, Prince PA, Stanley HE. Lévy flight search patterns of wandering albatrosses. Nature. 1996;381:413–5.

    Article  CAS  Google Scholar 

  28. Zeki S. Inner vision: an exploration of art and the brain. Oxford: Oxford University Press; 1999.

    Google Scholar 

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Acknowledgments

We thank our collaborators Cooper Boydston, Colin Clifford, Caroline Hagerhall, and Margaret Sereno for their useful discussions. This work was supported by an Australian Research Council grant DP120103659 to BS and RPT.

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Correspondence to Branka Spehar .

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Taylor, R.P., Spehar, B. (2016). Fractal Fluency: An Intimate Relationship Between the Brain and Processing of Fractal Stimuli. In: Di Ieva, A. (eds) The Fractal Geometry of the Brain. Springer Series in Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3995-4_30

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