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      Combining universal beauty and cultural context in a unifying model of visual aesthetic experience

      research-article
      Frontiers in Human Neuroscience
      Frontiers Media S.A.
      experimental aesthetics, beauty, art, culture, painting, cognition, perception, emotion

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          Abstract

          In this work, I propose a model of visual aesthetic experience that combines formalist and contextual aspects of aesthetics. The model distinguishes between two modes of processing. First, perceptual processing is based on the intrinsic form of an artwork, which may or may not be beautiful. If it is beautiful, a beauty-responsive mechanism is activated in the brain. This bottom–up mechanism is universal amongst humans; it is widespread in the visual brain and responsive across visual modalities. Second, cognitive processing is based on contextual information, such as the depicted content, the intentions of the artist or the circumstances of the presentation of the artwork. Cognitive processing is partially top–down and varies between individuals according to their cultural experience. Processing in the two channels is parallel and largely independent. In the general case, an aesthetic experience is induced if processing in both channels is favorable, i.e., if there is resonance in the perceptual processing channel (“aesthetics of perception”), and successful mastering in the cognitive processing channel (“aesthetics of cognition”). I speculate that this combinatorial mechanism has evolved to mediate social bonding between members of a (cultural) group of people. Primary emotions can be elicited via both channels and modulate the degree of the aesthetic experience. Two special cases are discussed. First, in a subset of (post-)modern art, beauty no longer plays a prominent role. Second, in some forms of abstract art, beautiful form can be enjoyed with minimal cognitive processing. The model is applied to examples of Western art. Finally, implications of the model are discussed. In summary, the proposed model resolves the seeming contradiction between formalist perceptual approaches to aesthetic experience, which are based on the intrinsic beauty of artworks, and contextual approaches, which account for highly individual and culturally dependent aspects of aesthetics.

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          Most cited references72

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          Relations between the statistics of natural images and the response properties of cortical cells

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            Sparse coding and decorrelation in primary visual cortex during natural vision.

            Theoretical studies suggest that primary visual cortex (area V1) uses a sparse code to efficiently represent natural scenes. This issue was investigated by recording from V1 neurons in awake behaving macaques during both free viewing of natural scenes and conditions simulating natural vision. Stimulation of the nonclassical receptive field increases the selectivity and sparseness of individual V1 neurons, increases the sparseness of the population response distribution, and strongly decorrelates the responses of neuron pairs. These effects are due to both excitatory and suppressive modulation of the classical receptive field by the nonclassical receptive field and do not depend critically on the spatiotemporal structure of the stimuli. During natural vision, the classical and nonclassical receptive fields function together to form a sparse representation of the visual world. This sparse code may be computationally efficient for both early vision and higher visual processing.
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              Visual perception and the statistical properties of natural scenes.

              The environments in which we live and the tasks we must perform to survive and reproduce have shaped the design of our perceptual systems through evolution and experience. Therefore, direct measurement of the statistical regularities in natural environments (scenes) has great potential value for advancing our understanding of visual perception. This review begins with a general discussion of the natural scene statistics approach, of the different kinds of statistics that can be measured, and of some existing measurement techniques. This is followed by a summary of the natural scene statistics measured over the past 20 years. Finally, there is a summary of the hypotheses, models, and experiments that have emerged from the analysis of natural scene statistics.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                28 April 2015
                2015
                : 9
                : 218
                Affiliations
                [1]Experimental Aesthetics Group, Institute of Anatomy I, University of Jena School of Medicine, Jena University Hospital Jena, Germany
                Author notes

                Edited by: Marcos Nadal, University of Vienna, Austria

                Reviewed by: Branka Spehar, University of New South Wales, Australia; Matthew Pelowski, University of Copenhagen, Denmark

                *Correspondence: Christoph Redies, Experimental Aesthetics Group, Institute of Anatomy I, University of Jena School of Medicine, Jena University Hospital, D-07740 Jena, Germany christoph.redies@ 123456med.uni-jena.de
                Article
                10.3389/fnhum.2015.00218
                4412058
                25954186
                d26beb46-259a-4295-acc0-fa6b5a681144
                Copyright © 2015 Redies.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 February 2015
                : 07 April 2015
                Page count
                Figures: 11, Tables: 0, Equations: 0, References: 148, Pages: 20, Words: 0
                Categories
                Neuroscience
                Hypothesis and Theory

                Neurosciences
                experimental aesthetics,beauty,art,culture,painting,cognition,perception,emotion
                Neurosciences
                experimental aesthetics, beauty, art, culture, painting, cognition, perception, emotion

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