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Computational Neuroscience of Vision - Edmund Rolls

Computational Neuroscience of Vision

Hardcover Published: 1st February 2002
ISBN: 9780198524892
Number Of Pages: 588

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The Computational Neuroscience of Vision focuses on the visual information processing and computational operations in the visual system that lead to representations of objects in the brain. Chapters 1-6, describe the structure and function of many of the cortical areas invovlved in this visual processing, including the temporal lobe cortical visual areas where representations of objects are found. Chapter 7 describes the operation of neural networks that provide a foundation for understanding how some of the computations involved take place in cortical areas. Chapter 8 describes different computational approaches to the recognition of objects, and then develops a computational approach to understanding how the visual system actually forms representations of objects. Chapters 9-11 provide a computational approach to understanding how attention operates in the brain. In addition to purely visual processing, Computational Neuroscience of Vision also considers how visual inputs reach and are involved in the computations underlying a range of behaviours, including short-term memory, long-term memory, emotion and motivation, and the initiation of action. The book thus provides a foundation for understanding the operation of a number of different brain systems. This book is relatively unique in integrating evidence from the neurophysiology, neuroimaging, and neuropsychology of the high-level visual processing systems in the brain and their connected output systems with a computational framework based on biologically plausible neural networks. The book will be of value to all those interested in understanding how the brain works, and in understanding vision, attention, memory, emotion, motiviation, and action.

Computational Neuroscience of Vision provides encouraging indications that the field itself is spawning a new form of neurobiologist in which experimentalist and theorist share the same brain. * Science, July 2002 *

Preface 1: Introduction 2: The primary visual cortex 3: Extrastriate visual areas 4: The parietal cortex 5: Inferior temporal cortical visual areas 6: Visual attentional mechanisms 7: Neural network models 8: Models of invariant object recognition 9: The cortical neurodynamics of visual attention - a model 10: Visual search: Attentional neurodynamics at work 11: A computational approach to the neuropsychology of visual attention 12: Outputs of visual processing 13: Principles and conclusions Appendix AIntroduction to linear algebra for neural networks Appendix BInformation theory References Index

ISBN: 9780198524892
ISBN-10: 0198524897
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 588
Published: 1st February 2002
Publisher: Oxford University Press
Country of Publication: GB
Dimensions (cm): 24.8 x 17.5  x 3.6
Weight (kg): 0.79