Biological and Computer Vision

TitleBiological and Computer Vision
Publication TypeBook
Year of Publication2021
AuthorsKreiman, G
Date Published02/2021
PublisherCambridge University Press
CityCambridge, UK
ISBN Number978-1108705004

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 cognitive 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 building visual systems.


Associated Module: 

CBMM Relationship: 

  • CBMM Related