This exciting new book presents a highly complex subject of vision, focussing on the visual information processing and computational operations in the visual system that lead to representations of objects in the brain. In addition to visual processing, it also considers how visual imputs reach and are involved in the computations underlying a wide range of behaviour, thus providing a foundation for understanding the operation of a number of different brain systems. This fascinating book will be of value to all those interested in understanding how the brain works, and in understanding vision, attention, memory, emotion, motivation and action.
| ISBN | 0198524889 | | Pages | 588 | | ISBN13 | 9780198524885
(What's this?) | | Volumes | 1 | | Publisher | Oxford University Press | | Weight (grammes) | 1002 | | Imprint | Oxford University Press | | Published in | Oxford | | Format | Paperback | | Height (mm) | 240 | | Publication date | 01 Nov 2001 | | Width (mm) | 168 | | Library of Congress | 2002277312 | | Spine width (mm) | 31 | | DEWEY | 612.84 | | Academic level | Undergraduate, Professional / Scholarly, Postgraduate | | DEWEY edition | DC21 | |
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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. Appendices: Introduction to linear algebra for neural networks; Information theory.
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 This book provides an outstanding illustration and defence of the computational approach to brain research. Trends in Cognitive Sciences ... useful to anyone who is interested in the underlying principles of visual processing, whether their interest in vision is from the computational, neurobiological, or psychological standpoint." Perception 31/10
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