Putting reward in art: A tentative prediction error account of visual art | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1068/i0466aap Corpus ID: 7780019Putting reward in art: A tentative prediction error account of visual art @article{Cruys2011PuttingRI, title={Putting reward in art: A tentative prediction error account of visual art}, author={Sander Van de Cruys and J. Wagemans}, journal={i-Perception}, year={2011}, volume={2}, pages={1035 - 1062} } Sander Van de Cruys, J. Wagemans Published 2011 Psychology, Medicine i-Perception The predictive coding model is increasingly and fruitfully used to explain a wide range of findings in perception. Here we discuss the potential of this model in explaining the mechanisms underlying aesthetic experiences. Traditionally art appreciation has been associated with concepts such as harmony, perceptual fluency, and the so-called good Gestalt. We observe that more often than not great artworks blatantly violate these characteristics. Using the concept of prediction error from the… Expand View on SAGE journals.sagepub.com Save to Library Create Alert Cite Launch Research Feed Share This Paper 132 CitationsHighly Influential Citations 6 Background Citations 55 Methods Citations 4 Results Citations 12 View All Figures and Topics from this paper figure 1 figure 2 figure 3 figure 4 figure 6 figure 7 figure 8 figure 9 figure 10 figure 11 View All 10 Figures & Tables Rewards Movement Experience Auditory Perceptual Disorders confirmation - ResponseLevel Esthetics (discipline) 132 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency The predictive mind and the experience of visual art work L. Kesner Computer Science, Medicine Front. 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Psychological insights into art appreciation A. Lindell, J. Mueller Psychology 2011 62 View 2 excerpts, references results and background Save Alert Research Feed The visual system as a constraint on the survival and success of specific artworks. David Melcher, F. Bacci Psychology, Medicine Spatial vision 2008 16 Save Alert Research Feed Perception, memory and aesthetics of indeterminate art A. Ishai, S. Fairhall, R. Pepperell Psychology, Medicine Brain Research Bulletin 2007 66 PDF Save Alert Research Feed Connecting Art and the Brain: An Artist's Perspective on Visual Indeterminacy R. Pepperell Psychology, Medicine Front. Hum. Neurosci. 2011 26 Highly Influential PDF View 3 excerpts, references background Save Alert Research Feed The science of art: A neurological theory of aesthetic experience V. Ramachandran, W. Hirstein Psychology 1999 716 PDF Save Alert Research Feed A model of art perception, evaluation and emotion in transformative aesthetic experience Matthew Pelowski, F. Akiba Psychology 2011 89 Highly Influential View 4 excerpts, references background Save Alert Research Feed A universal model of esthetic perception based on the sensory coding of natural stimuli. C. Redies Psychology, Medicine Spatial vision 2007 125 PDF Save Alert Research Feed The Artification Hypothesis and Its Relevance to Cognitive Science, Evolutionary Aesthetics, and Neuroaesthetics E. Dissanayake Psychology 2009 47 View 3 excerpts, references background Save Alert Research Feed Processing Fluency and Aesthetic Pleasure: Is Beauty in the Perceiver's Processing Experience? R. Reber, N. Schwarz, P. Winkielman Psychology, Medicine Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc 2004 1,692 PDF View 1 excerpt, references results Save Alert Research Feed Visual mismatch negativity and its importance in visual cognitive sciences M. Kimura, E. Schröger, I. Czigler Psychology, Medicine Neuroreport 2011 113 Save Alert Research Feed ... 1 2 3 4 5 ... Related Papers Abstract Figures and Topics 132 Citations 114 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More → Resources DatasetsSupp.aiAPIOpen Corpus Organization About UsResearchPublishing PartnersData Partners   FAQContact Proudly built by AI2 with the help of our Collaborators Terms of Service•Privacy Policy The Allen Institute for AI By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License ACCEPT & CONTINUE