Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science
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rain Informatics
Open Access
REVIEW
Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science Rui Li1 and Junsong Zhang1,2*
Abstract The mystery of aesthetics attracts scientists from various research fields. The topic of aesthetics, in combination with other disciplines such as neuroscience and computer science, has brought out the burgeoning fields of neuroaesthetics and computational aesthetics within less than two decades. Despite profound findings are carried out by experimental approaches in neuroaesthetics and by machine learning algorithms in computational neuroaesthetics, these two fields cannot be easily combined to benefit from each other and findings from each field are isolated. Computational neuroaesthetics, which inherits computational approaches from computational aesthetics and experimental approaches from neuroaesthetics, seems to be promising to bridge the gap between neuroaesthetics and computational aesthetics. Here, we review theoretical models and neuroimaging findings about brain activity in neuroaesthetics. Then machine learning algorithms and computational models in computational aesthetics are enumerated. Finally, we introduce studies in computational neuroaesthetics which combine computational models with neuroimaging data to analyze brain connectivity during aesthetic appreciation or give a prediction on aesthetic preference. This paper outlines the rich potential for computational neuroaesthetics to take advantages from both neuroaesthetics and computational aesthetics. We conclude by discussing some of the challenges and potential prospects in computational neuroaesthetics, and highlight issues for future consideration. Keywords: Neuroaesthetics, Computational aesthetics, Computational neuroaesthetics, Brain functional connectivity, Machine learning 1 Introduction Aesthetics, defined in the dictionary as “a set of principles concerned with the nature and appreciation of beauty” [1], plays a fundamental role in human’s history and culture. The way we appreciate beauty and the way we create beautiful things enrich our daily life and fulfill our world. However, we still know little about how aesthetics, the feeling of being moved and the ability to appreciate and judge the beauty, is generated. Aesthetics has been a subject of curiosity within philosophy in the eighteenth century, but now has extended to other scientific *Correspondence: [email protected] 1 National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan, Hubei, People’s Republic of China Full list of author information is available at the end of the article
disciplines like cognitive psychology, neuroscience, and computer science [2–4]. In these fields, researchers seek to understand aesthetics from different perspective. The widespread interest on aesthetics and the integration of aesthetics with researcher’s own background have brought out a variety of interdisciplinary research fields such as empirical aesthetics, neuroaesthetics, and
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