Neural art appraisal of painter: Dali or Picasso?
Autor: | Miyuki Yamamoto, Yukiyasu Kamitani, Yasuhito Sawahata, Hiromi Yamamura |
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Rok vydání: | 2009 |
Předmět: |
Famous Persons
Brain activity and meditation media_common.quotation_subject Models Neurological Representation (arts) Young Adult Artificial Intelligence Surveys and Questionnaires Humans PICASSO media_common Cognitive science Painting General Neuroscience Brain Signal Processing Computer-Assisted Art Magnetic Resonance Imaging Pattern Recognition Visual Categorization Visual Perception Identity (object-oriented programming) Paintings Identification (psychology) Photic Stimulation Neural decoding |
Zdroj: | NeuroReport. 20:1630-1633 |
ISSN: | 0959-4965 |
DOI: | 10.1097/wnr.0b013e3283331322 |
Popis: | 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. |
Databáze: | OpenAIRE |
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