Biological and Computer Vision

Gabriel Kreiman (Harvard University, Massachusetts)

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English

Cambridge University Press
04 February 2021

Cognitivism, cognitive theory; Cognition & cognitive psychology; Neurosciences; Image processing

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.

By: Gabriel Kreiman (Harvard University Massachusetts)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 230mm, Width: 150mm, Spine: 18mm
Weight: 500g
ISBN: 9781108705004
ISBN 10: 1108705006
Pages: 280
Publication Date: 04 February 2021
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Gabriel Kreiman is a professor at the Center for Brains, Minds, and Machines and the Children's Hospital at Harvard Medical School. Awards received by Prof. Kreiman include: the National Institute of Health (NIH) New Innovator Award, National Science Foundation (NSF) Career Award, Pisart Award for Vision Resarch, and McKnight Foundation Research Award.

Reviews for Biological and Computer Vision

'... an interesting analysis of computational modeling for visual consciousness. Impressive in scope, the book is brief, resulting in a text that is quite approachable ... Highly recommended.' J. M. Carroll, Choice