A new deep learning algorithm identified key features underlying success in the art world. Researchers report a link between exploration and exploitation was associated with artistic success.
Reduced activity in the prefrontal cortex during virtual reality creative self-expression tasks indicates an enhanced relaxation response.
Artificial intelligence technology is able to break down a painting's visual attributes. Trained by data from online users, the deep convolutional neural network was accurately able to predict an individual's taste in art.
HIV infection prevents myelin-associated oligodendrocytes from maturing, this, in turn, hampers white matter production in the brain.
Viewing art you find aesthetically pleasing can help boost your personal creativity, researchers report.
Impaired motor function, such as that experienced by Parkinson's patients, appears to influence the perception of art, researchers report.
Deep layers of artificial neural networks can be edited to generate surprising and abstract images.
Mixing materials allow for more varied and nuanced expressions of artistic creativity in children.
When we see a painting, we rate its aesthetic value based upon other artwork we have just seen.
The average American can assess mathematical arguments for beauty just as they can for art or music. Using nine criteria for beauty, including elegance, intricacy, and universality, people were more likely to agree about the specific ways four different proofs were beautiful. The study sheds new light on broader issues in how and why humans have aesthetic experiences of abstract ideas.
Neuroscientists draw the conclusion Mona Lisa's famous enigmatic smile isn's a genuine smile at all.
Researchers propose Leonardo da Vinci's dyslexia may have contributed to his creativity and artistic skills.
