The Perception of Illusory Contours is a complete and comprehensive volume on one of the most important phenomena in modern perception research. An illusory contour is a demonstration in which people perceive edges, surfaces, objects and colors that have no physical reality. The international group of distinguished researchers which comprise the contributors to the volume present new theoretical interpretations and data in addition to reviewing the extensive literature on this topic. The volume begins with an introduction to the research on and theories behind illusory contours and their applications to other areas of perception, cognitive science and art. The collection also features English language translations of the seminal papers by Schumann, Ehrenstein, and Kanizsa, the scientists who originally discovered and investigated the phenomenon. The Perception of Illusory Contours contains the most comprehensive set of illusory contour figures ever assembled. The volume is a most significant reference work in an area of research at the critical intersection of perception, cognitive science, visual neurophysiology, and artificial intelligence.

The Perception of Illusory Contours is a complete and comprehensive volume on one of the most important phenomena in modern perception research. An illusory contour is a demonstration in which people perceive edges, surfaces, objects and colors that have no physical reality. The international group of distinguished researchers which comprise the contributors to the volume present new theoretical interpretations and data in addition to reviewing the extensive literature on this topic. The volume begins with an introduction to the research on and theories behind illusory contours and their applications to other areas of perception, cognitive science and art. The collection also features English language translations of the seminal papers by Schumann, Ehrenstein, and Kanizsa, the scientists who originally discovered and investigated the phenomenon. The Perception of Illusory Contours contains the most comprehensive set of illusory contour figures ever assembled. The volume is a most significant reference work in an area of research at the critical intersection of perception, cognitive science, visual neurophysiology, and artificial intelligence.

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.

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.

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

Computation in Neurons and Neural Systems contains the collected papers of the 1993 Conference on Computation and Neural Systems which was held between July 31--August 7, in Washington, DC. These papers represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, and includes coverage of analysis and modeling work as well as results of new biological experimentation.

Annotation The three volume set LNCS 3610, LNCS 3611, and LNCS 3612 constitutes the refereed proceedings of the First International Conference on Natural Computation, ICNC 2005, held in Changsha, China, in August 2005 as a joint event in federation with the Second International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2005 (LNAI volumes 3613 and 3614). The program committee selected 313 carefully revised full papers and 189 short papers for presentation in three volumes from 1887 submissions. The first volume includes all the contributions related to learning algorithms and architectures in neural networks, neurodynamics, statistical neural network models and support vector machines, and other topics in neural network models; cognitive science, neuroscience informatics, bioinformatics, and bio-medical engineering, and neural network applications as communications and computer networks, expert system and informatics, and financial engineering. The second volume concentrates on neural network applications such as pattern recognition and diagnostics, robotics and intelligent control, signal processing and multi-media, and other neural network applications; evolutionary learning, artificial immune systems, evolutionary theory, membrane, molecular, DNA computing, and ant colony systems. The third volume deals with evolutionary methodology, quantum computing, swarm intelligence and intelligent agents; natural computation applications as bioinformatics and bio-medical engineering, robotics and intelligent control, and other applications of natural computation; hardware implementations of natural computation, and fuzzy neural systems as well as soft computing.

The best example of filling-in involves the blind spot, a region of the retina devoid of photoreceptors. Remarkably, the region of visual space corresponding to the blind spot is not perceived as a dark region in space, but instead as having the same color and texture as the surrounding background; hence the expression "filling in." While this type of perceptual completion phenomenon is common in the visual domain, it is argued by the leading scientists who contribute to this book that forms of filling-in also take place in other sensory modalities, including the auditory, somatosensory, and motor systems. In a concluding chapter an integrative approach is taken, which attempts to provide a common framework for completion phenomena occurring on a fast time scale, and cortical reorganization in sensory and motor cortex induced by peripheral damage or skill learning taking place on a slower time scale. It is proposed that systematic changes in the interplay between inhibitory and excitatory inputs permit cortical neurons to become driven by new sources of input, which, in addition to initial perceptual consequences can lead to a long-term structural reorganization of cortex. This book represents a truly interdisciplinary approach to neuroscience, with chapters covering computational modeling, visual psychophysics, functional brain imaging, single-cell physiology, and clinical patient cases. It will be of interest to researchers and graduate students in systems neuroscience, cognitive neuroscience, vision science, neuroimaging, perceptual psychology, computational neuroscience, and philosophy of mind.

The visual world of animals is highly diverse and often very different from that of humans. This book provides an extensive review of the latest behavioral and neurobiological research on animal vision, detailing fascinating species similarities and differences in visual processing.