A clearing in the objectivity of aesthetics?
Daniel H Lee1, Junichi Chikazoe1
1ARAYA Inc., Tokyo, Japan.
Frontiers in Neuroimaging
|September 1, 2023
Summary
New computational and neuroscientific methods offer a path to understanding the brain basis of aesthetic experiences, particularly beauty. These advances in artificial intelligence and neuroscience may unlock new insights into how we perceive and process beauty.
Area of Science:
- Neuroscience
- Cognitive Science
- Artificial Intelligence
Background:
- Aesthetics, the study of beauty and art, has historically lacked significant research progress despite its subjective importance.
- Understanding the neural underpinnings of aesthetic experiences remains a complex challenge in cognitive science.
Purpose of the Study:
- To explore recent computational and neuroscientific advancements relevant to aesthetic processing.
- To propose novel approaches for investigating the neural basis of beauty and aesthetic judgment.
Main Methods:
- Hypothesizing the utility of deep neural networks (DNNs) for modeling aesthetic representations.
- Highlighting the principal gradient as a key neural axis for studying aesthetic processing.
- Integrating these advances with established neuroimaging techniques.
Main Results:
- Deep neural networks show potential for modeling complex representations crucial for aesthetic experiences.
- The principal gradient offers a framework for localizing aesthetic processing within the brain.
- A synergistic approach combining AI and neuroscience can advance the study of aesthetics.
Conclusions:
- Recent computational (DNNs) and neuroscientific (principal gradient) advances offer a promising new direction for aesthetic research.
- Integrating these tools with neuroimaging can significantly deepen our understanding of how the brain processes beauty.
- This interdisciplinary approach may usher in a new era of aesthetic science.
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