Reductionism in Art and Brain Science
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Reductionism in Art and Brain Science
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The Nobel Prize-winning neuroscientist Eric R. Kandel shows how science can inform the way we experience a work of art and seek to understand its meaning. He illustrates how reductionismβdistillation of larger scientific or aesthetic concepts into smaller componentsβhas been used by scientists and artists alike to pursue their respective truths.
Are art and science separated by an unbridgeable divide? Can they find common ground? In this new book, neuroscientist Eric R. Kandel, whose remarkable scientific career and deep interest in art give him a unique perspective, demonstrates how science can inform the way we experience a work of art and seek to understand its meaning.
Kandel illustrates how reductionismβthe distillation of larger scientific or aesthetic concepts into smaller, more tractable componentsβhas been used by scientists and artists alike to pursue their respective truths. He draws on his Nobel Prize-winning work revealing the neurobiological underpinnings of learning and memory in sea slugs to shed light on the complex workings of the mental processes of higher animals.
In Reductionism in Art and Brain Science, Kandel shows how this radically reductionist approach, applied to the most complex puzzle of our timeβthe brainβhas been employed by modern artists who distill their subjective world into colour, form, and light. Kandel demonstrates through bottom-up sensory and top-down cognitive functions how science can explore the complexities of human perception and help us to perceive, appreciate, and understand great works of art.
At the heart of the book is an elegant elucidation of the contribution of reductionism to the evolution of modern art and its role in a monumental shift in artistic perspective. Reductionism steered the transition from figurative art to the first explorations of abstract art reflected in the works of Turner, Monet, Kandinsky, Schoenberg, and Mondrian. Kandel explains how, in the postwar era, Pollock, de Kooning, Rothko, Louis, Turrell, and Flavin used a reductionist approach to arrive at their abstract expressionism and how Katz, Warhol, Close, and Sandback built upon the advances of the New York School to reimagine figurative and minimal art.
Featuring captivating drawings of the brain alongside full-colour reproductions of modern art masterpieces, this book draws out the common concerns of science and art and how they illuminate each other.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Eric R. Kandel is praised for eloquently weaving the realms of science and art into a stimulating narrative that reveals their shared foundations. Critics highlight his clear, accessible prose and commend the book as both enjoyable and educational for curious readers. The work has been described as a remarkable blend of poetic insight and scientific rigour, with endorsements noting it stands confidently at the crossroads of humanities and science.
Book Details
INFORMATION
ISBN: 9780231179638
Publisher: Columbia University Press
Format: Paperback / softback
Date Published: 12 June 2018
Country: United States
Imprint: Columbia University Press
Illustration: 105 color images
Audience: Professional and scholarly
DIMENSIONS
Width: 152.0mm
Height: 229.0mm
Weight: 250g
Pages: 240
Collections
About the Author
Eric R. Kandel is University Professor and Kavli Professor in the Departments of Neuroscience, Biochemistry and Molecular Biophysics, and Psychiatry at Columbia University. He is director of the Kavli Institute for Brain Science and codirector of the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia. In 2000, he was awarded the Nobel Prize in Physiology or Medicine. His recent books include The Age of Insight: The Quest to Understand the Unconscious in Art, Mind, and Brain, from Vienna 1900 to the Present (2012) and In Search of Memory: The Emergence of a New Science of Mind (2007), as well as Principles of Neural Science (2012), of which he is lead coauthor.
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