Toward Model Building for Visual Aesthetic Perception
Joint Authors
Liu, Jianli
Lughofer, Edwin
Zeng, Xianyi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Several models of visual aesthetic perception have been proposed in recent years.
Such models have drawn on investigations into the neural underpinnings of visual aesthetics, utilizing neurophysiological techniques and brain imaging techniques including functional magnetic resonance imaging, magnetoencephalography, and electroencephalography.
The neural mechanisms underlying the aesthetic perception of the visual arts have been explained from the perspectives of neuropsychology, brain and cognitive science, informatics, and statistics.
Although corresponding models have been constructed, the majority of these models contain elements that are difficult to be simulated or quantified using simple mathematical functions.
In this review, we discuss the hypotheses, conceptions, and structures of six typical models for human aesthetic appreciation in the visual domain: the neuropsychological, information processing, mirror, quartet, and two hierarchical feed-forward layered models.
Additionally, the neural foundation of aesthetic perception, appreciation, or judgement for each model is summarized.
The development of a unified framework for the neurobiological mechanisms underlying the aesthetic perception of visual art and the validation of this framework via mathematical simulation is an interesting challenge in neuroaesthetics research.
This review aims to provide information regarding the most promising proposals for bridging the gap between visual information processing and brain activity involved in aesthetic appreciation.
American Psychological Association (APA)
Liu, Jianli& Lughofer, Edwin& Zeng, Xianyi. 2017. Toward Model Building for Visual Aesthetic Perception. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1139835
Modern Language Association (MLA)
Liu, Jianli…[et al.]. Toward Model Building for Visual Aesthetic Perception. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1139835
American Medical Association (AMA)
Liu, Jianli& Lughofer, Edwin& Zeng, Xianyi. Toward Model Building for Visual Aesthetic Perception. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1139835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139835