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This book honors Naomi Weisstein’s foreshortened span of work published from 1964 to 1992. Naomi Weisstein was a pioneer in the areas we now call visual neuroscience, visual cognition, and cognitive neuroscience. Her enthusiastic pursuit of the mind was infectious, inspiring many others to take up the challenge. Despite her time as an active researcher being cut short, Weisstein’s impact was far reaching and long lasting, and many of her ideas and insights foreshadowed today’s active areas of inquiry into the inner workings of the mind. Comprising contributions from leading scholars in the field, Pioneer Visual Neuroscience outlines Weisstein’s many contributions to the study of visual perception and processing and their effects on the field today. This volume will be of interest to anyone interested in visual perception, visual cognition, and cognitive neuroscience.
Splendors and Miseries of the Brain examines the elegant and efficient machinery of the brain, showing that by studying music, art, literature, and love, we can reach important conclusions about how the brain functions. discusses creativity and the search for perfection in the brain examines the power of the unfinished and why it has such a powerful hold on the imagination discusses Platonic concepts in light of the brain shows that aesthetic theories are best understood in terms of the brain discusses the inherited concept of unity-in-love using evidence derived from the world literature of love addresses the role of the synthetic concept in the brain (the synthesis of many experiences) in relation to art, using examples taken from the work of Michelangelo, Cézanne, Balzac, Dante, and others
An engaging introduction to the science of vision that offers a coherent account of vision based on general information processing principles In this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to explore how the brain sees the world. Understanding vision, Stone argues, is not simply a question of knowing which neurons respond to particular visual features, but also requires a computational theory of vision. Stone draws together results from David Marr's computational framework, Barlow's efficient coding hypothesis, Bayesian inference, Shannon's information theory, and signal processing to construct a coherent account of vision that explains not only how the brain is fooled by particular visual illusions, but also why any biological or computer vision system should also be fooled by these illusions. This short text includes chapters on the eye and its evolution, how and why visual neurons from different species encode the retinal image in the same way, how information theory explains color aftereffects, how different visual cues provide depth information, how the imperfect visual information received by the eye and brain can be rescued by Bayesian inference, how different brain regions process visual information, and the bizarre perceptual consequences that result from damage to these brain regions. The tutorial style emphasizes key conceptual insights, rather than mathematical details, making the book accessible to the nonscientist and suitable for undergraduate or postgraduate study.
A revelatory account of the brain's capacity for change When neuroscientist Susan Barry was fifty years old, she experienced the sense of immersion in a three dimensional world for the first time. Skyscrapers on street corners appeared to loom out toward her like the bows of giant ships. Tree branches projected upward and outward, enclosing and commanding palpable volumes of space. Leaves created intricate mosaics in 3D. Barry had been cross-eyed and stereoblind since early infancy. After half a century of perceiving her surroundings as flat and compressed, on that day she saw the city of Manhattan in stereo depth for first time in her life. As a neuroscientist, she understood just how extraordinary this transformation was, not only for herself but for the scientific understanding of the human brain. Scientists have long believed that the brain is malleable only during a "critical period" in early childhood. According to this theory, Barry's brain had organized itself when she was a baby to avoid double vision - and there was no way to rewire it as an adult. But Barry found an optometrist who prescribed a little-known program of vision therapy; after intensive training, Barry was ultimately able to accomplish what other scientists and even she herself had once considered impossible. Dubbed "Stereo Sue" by renowned neurologist Oliver Sacks, Susan Barry tells her own remarkable journey and celebrates the joyous pleasure of our senses.
Visual neuroscience is the study of the way in which the -brain accomplishes sight, and this book presents overviews of a range of topics in this area. The chapters are grouped into six sections - retina, retino-geniculate connections, visual development, comparative visual physiology, visual cortex and integrative aspects - and the authors describe both their own contributions to the field, and the influence of their teacher, P.O. Bishop, on their scientific development.
Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. Vision is involved in nearly a third of everything a brain does and explaining how it works reveals more than just how we see. It also tells us how the brain processes information – how it perceives, learns and remembers. In We Know It When We See It, pioneering neuroscientist Richard Masland covers everything from what happens when light hits your retina, to the increasingly sophisticated nerve nets that turn that light into knowledge, to what a computer algorithm must be able to do before it can truly be called ‘intelligent’. It is a profound yet accessible investigation into how our bodies make sense of the world.
This book provides a comprehensive review of the works in the rapidly evolving field of neural networks and brain studies. Its purpose is two-fold: to help physicists entering this field to get a broader view of the context of the domain, and to help scientists of other disciplines to reach a better understanding of the physicists' contributions within a context of perspectives they can relate to.Included in the volume are 68 carefully selected, high quality reprints to provide the volume with both breadth and depth. It is organized into 5 sections and 22 chapters, both the sections and chapters being preceded by introductory comments by the editors.
Updated and revised, the highly-anticipated second edition of The Blackwell Companion to Consciousness offers a collection of readings that together represent the most thorough and comprehensive survey of the nature of consciousness available today. Features updates to scientific chapters reflecting the latest research in the field Includes 18 new theoretical, empirical, and methodological chapters covering integrated information theory, renewed interest in panpsychism, and more Covers a wide array of topics that include the origins and extent of consciousness, various consciousness experiences such as meditation and drug-induced states, and the neuroscience of consciousness Presents 54 peer-reviewed chapters written by leading experts in the study of consciousness, from across a variety of academic disciplines
In this updated and extended edition of their book, Goodale and Milner explore one of the most extraordinary neurological cases of recent years—one that profoundly changed scientific views on the visual brain. Taking us on a journey into the unconscious brain, this book is a fascinating illustration of the power of the 'unconscious' mind.
The light sense is conceivably the key sense in both the animal and the plant kingdom. Vision research, undoubtedly a fast-growing field, is providing impressive results — thanks to modern theoretical and methodological advances. The approach of biophysics and neuroscience seems to be of great benefit and, for this reason, the present book gives an outline of recent acquisitions and updated advanced methods concerning this approach. Visual mechanisms and processes are analysed at several (molecular, cellular, integrative, computational and cognitive) levels by different methodologies (from molecular biology to computation) applied to different living models (from protists to humans, via invertebrates and lower vertebrates).