Mechanisms of neural plasticity enable the encoding and memorization of information based on sensory inputs and can be harnessed to partially restore function after CNS assault such as stroke or head trauma. In the present book, experts from the field of visual system plasticity describe and evaluate the evidence for neural mechanisms proposed to underlie CNS plasticity in the major divisions of the brain dedicated to visual processing, the retina, sub-cortical structures and cortex. We present studies from a wide variety of disciplines that range from molecular biology to neurophysiology and computer modeling. Leading investigators discuss their own work, and integrate this research with colleagues from other specializations. The book points out future applications for this research including clinical uses and engineering within the biomedical sciences. This book is an exciting and thought provoking read for all levels of science enthusiast interested in the physical basis of learning and cognition.

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Plasticity is the basis for learning, memory formation and cognition, and the adaptability it affords is essential for normal day-to-day functioning. Many diseases of brain functioning can be described as, or affect, plasticity mechanisms. The goal of Plasticity in the Visual System: From Genes to Circuits is to assemble and integrate the various levels of analysis required to approach a more complete picture of plasticity in the visual system. Researchers with backgrounds varying from systems neuroscience to molecular biology present a coherent picture of visual system plasticity, in which an array of genetic and molecular processes becomes linked with changes in neuronal connectivity, physiological changes, and ultimately, learning behavior. Because of its interdisciplinary view on plasticity, this book will appeal to the wide neuroscience community.

Plasticity in the Visual System: From Genes to Circuits will advance discussion in a wide range of fields, including molecular, cellular and systems neuroscience, perceptual psychology, computational modeling and will be of use in graduate level courses and seminars in these areas.

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