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  3. Biological and Computer Vision
  • Cited by 7
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    • Publisher:
      Cambridge University Press
      Publication date:
      February 2021
      February 2021
      ISBN:
      9781108649995
      9781108483438
      9781108705004
      DOI:
      https://doi.org/10.1017/9781108649995
      Dimensions:
      (244 x 170 mm)
      Weight & Pages:
      0.64kg, 274 Pages
      Dimensions:
      (244 x 170 mm)
      Weight & Pages:
      0.5kg, 274 Pages
      • Subjects:
      Life Sciences, Neurosciences, Psychology, Cognition
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    • Selected: Digital
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    Subjects:
    Life Sciences, Neurosciences, Psychology, Cognition
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    Book description

    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.

    Reviews

    ‘… 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 Source: Choice

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