Computational and Cognitive Neuroscience of Vision

Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.

Provides a systematic and comprehensive overview of vision from various perspectives Addresses the barrier between vision research and integrative research on cognition Links multiple visual cognition disciplines and highlights the impact this can have on technological innovations Written by leading experts in the field Includes supplementary material: sn.pub/extras

Autorentext
Dr. Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. She obtained her Ph.D. from the University of California, Santa Cruz, followed by postdoctoral training at the California Institute of Technology. Prior to joining the University of Minnesota, she was an assistant professor in the Department of Electrical and Computer Engineering and the Department of Ophthalmology at the National University of Singapore, and the principal investigator at the Visual Information Processing Lab. Her main research interests include computational vision, machine learning, cognitive neuroscience, and mental disorders.

Inhalt
Neural basis of vision.- Organization of visual pathway.- Retinal mechanisms, processes, and computation.- Perceptual organization and interpretation.- Social factors of vision.- Dynamics of visual perception.- Visual illusions.- Visual disorders.- Neural basis and theory of consciousness.- Attention and cognition: biological principles and computational models.- Object recognition: biological principles and computational models.- Overview of artificial vision.- Development of robot vision.- Retinal implants.- Diagnostic sensors for visual disorders.- Cross-modal plasticity.- Vision, action, and planning.- Applications.