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Zusatztext 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. Klappentext The human visual system is so incredibly complex that any attempt to understand how the brain processes visual information necessitates a range of approaches! on a number of different levels. Neurophysiological studies! at the single neuron level are required. We need to bring inneuropsychological studies of brain damaged patients in order to understand what different parts of the visual system do! and what each part is needed for. Neuroimaging work can provide valuable information on the locations in the brain where these processes are taking place. Additionally requiredis an understanding of the biophysical and synaptic properties of neurons to see how the computing elements of the brain work. A knowledge of the anatomical and functional architecture of the cortex further enhances our understanding. Finally! neural computation methods can bring together theevidence to understand how the visual system actually works. Most of the books looking at the topic of vision tend to take a particular approach and exclude the work and data being obtained from studies adopting other approaches This important new book from the eminent neuroscientist! Edmund Rolls (in collaboration with Gustavo Deco)! is unique in combining all these approaches within a single volume to further our understanding of vision. This original approach enables a far more complete understanding of a very complexsubject. This is a book which will be of great value to psychologists interested in vision and attentional processes! neuroscientists! and vision scientists. Zusammenfassung 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....
