Description
Book SynopsisThe 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 a
Trade ReviewComputational 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 *
Table of ContentsPREFACE ; 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 ; INTRODUCTION TO LINEAR ALGEBRA FOR NEURAL NETWORKS ; INFORMATION THEORY ; References ; Index
