Neural art appraisal of painter: Dali or Picasso?
One can infer an artist's identity from his or her artworks, but little is known about the neural representation of such elusive categorization. Here, we constructed a 'neural art appraiser' based on machine-learning methods that predicted the painter from the functional MRI activity pattern elicited by a painting. We found that Dali's and Picasso's artworks could be accurately classified based on brain activity alone, and that broadly distributed brain activity contributed to the neural prediction. Our approach provides a new means to probe into complex neural processes underlying art experiences.
Yamamura
Hiromi
H
Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan.
Sawahata
Yasuhito
Y
Yamamoto
Miyuki
M
Kamitani
Yukiyasu
Y
D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology*; D005197:Famous Persons; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D010151:Paintings; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D012815:Signal Processing, Computer-Assisted; D011795:Surveys and Questionnaires; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult