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.
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.
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
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.
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.
A comprehensive review of contemporary research in the vision sciences, reflecting the rapid advances of recent years. Visual science is the model system for neuroscience, its findings relevant to all other areas. This essential reference to contemporary visual neuroscience covers the extraordinary range of the field today, from molecules and cell assemblies to systems and therapies. It provides a state-of-the art companion to the earlier book The Visual Neurosciences (MIT Press, 2003). This volume covers the dramatic advances made in the last decade, offering new topics, new authors, and new chapters. The New Visual Neurosciences assembles groundbreaking research, written by international authorities. Many of the 112 chapters treat seminal topics not included in the earlier book. These new topics include retinal feature detection; cortical connectomics; new approaches to mid-level vision and spatiotemporal perception; the latest understanding of how multimodal integration contributes to visual perception; new theoretical work on the role of neural oscillations in information processing; and new molecular and genetic techniques for understanding visual system development. An entirely new section covers invertebrate vision, reflecting the importance of this research in understanding fundamental principles of visual processing. Another new section treats translational visual neuroscience, covering recent progress in novel treatment modalities for optic nerve disorders, macular degeneration, and retinal cell replacement. The New Visual Neurosciences is an indispensable reference for students, teachers, researchers, clinicians, and anyone interested in contemporary neuroscience. Associate Editors Marie Burns, Joy Geng, Mark Goldman, James Handa, Andrew Ishida, George R. Mangun, Kimberley McAllister, Bruno Olshausen, Gregg Recanzone, Mandyam Srinivasan, W.Martin Usrey, Michael Webster, David Whitney Sections Retinal Mechanisms and Processes Organization of Visual Pathways Subcortical Processing Processing in Primary Visual Cortex Brightness and Color Pattern, Surface, and Shape Objects and Scenes Time, Motion, and Depth Eye Movements Cortical Mechanisms of Attention, Cognition, and Multimodal Integration Invertebrate Vision Theoretical Perspectives Molecular and Developmental Processes Translational Visual Neuroscience
As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Béla Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford. The authors hope to provide foundation and, perhaps more importantly, further inspiration for continued research in vision. This book covers David Marr's paradigm and various underlying statistical models for vision. The mathematical framework herein integrates three regimes of models (low-, mid-, and high-entropy regimes) and provides foundation for research in visual coding, recognition, and cognition. Concepts are first explained for understanding and then supported by findings in psychology and neuroscience, after which they are established by statistical models and associated learning and inference algorithms. A reader will gain a unified, cross-disciplinary view of research in vision and will accrue knowledge spanning from psychology to neuroscience to statistics.
Drawing on perspectives from music psychology, cognitive neuroscience, philosophy, musicology, clinical psychology, and music education, Music and Mental Imagery provides a critical overview of cutting-edge research on the various types of mental imagery associated with music. The four main parts cover an introduction to the different types of mental imagery associated with music such as auditory/musical, visual, kinaesthetic, and multimodal mental imagery; a critical assessment of established and novel ways to measure mental imagery in various musical contexts; coverage of different states of consciousness, all of which are relevant for, and often associated with, mental imagery in music, and a critical overview of applications of mental imagery in health, educational, and performance settings. By both critically reviewing up-to-date scientific research and offering new empirical results, this book provides a unique overview of the different types and origins of mental imagery in musical contexts, various ways to measure them, and intriguing insights into related mental phenomena such as mind-wandering and synaesthesia. This will be of particular interest for scholars and researchers of music psychology and music education. It will also be useful for practitioners working with music in applied health and educational contexts.
Behavioral Neuroscience by George Spilich, presents the neurophysiological aspects of behavior to the 21st-century, digital-native learner in the context of human experience, rather than in that of laboratory experiments with non-human animals. Whether a student has enrolled in the course to prepare them for a career in medicine or science, or they are fulfilling a general education science requirement, Behavioral Neuroscience is written to meet them where they are. The text has an accessible writing style, real-life examples and data sets, active-learning exercises, and multimodal media and quizzes—all designed to make the subject more engaging and relevant. This ground-breaking first edition is ideal for the Introductory Behavioral Neuroscience or the Biological Psychology course.
