A clear critical account of the major approaches to understanding visual perception. It explains why approaches to theories of visual perception differ so widely and places each theory into its historical and philosophical context.

Paul Rookes and Jane Willson explain perception and perceptual processes in a way that almost anyone can understand. The study of perception, or how the brain processes information from the senses , has fascinated psychologists and philosophers for a long time. Perception takes the key research areas and presents the arguments and findings in a clear, concise form, enabling the reader to have a quick working knowledge of the area. This clear and informative text discusses sensation and perception then looks at theories and explanations of perception. The way visual perception is structured is examined, followed by an analysis of the development of perceptual processes. The authors then consider individual social and cultural variations in perceptual organisation. Perception will be particularly useful to students new to higher-level study. With its helpful textbook features to assist in examination and learning techniques, it should interest all introductory psychology students.

Kepler's successful solution to the problem of vision early in the seventeenth century was a theoretical triumph as significant as many of the more celebrated developments of the scientific revolution. Yet the full import of Kepler's arguments can be grasped only when they are viewed against the background of ancient, medieval, and Renaissance visual theory. David C. Lindberg provides this background, and in doing so he fills the gap in historical scholarship and constructs a model for tracing the development of scientific ideas. David C. Lindberg is professor and chairman of the department of the history of science at the University of Wisconsin, Madison.

Perception is one of the oldest and most deeply investigated topics in psychology, and it raised some profound philosophical questions. It is concerned with how we use the information reaching our senses to inform our behaviour, and to create our subjective experience of the surrounding world. Brian Rogers discusses the philosophical question of what it means to perceive, and describes how we are able to perceive the particular characteristics of objects and scenes such as their lightness, colour, form, depth, and motion. He argues that perception should not be seen as a separate process but rather as part of a 'perceptual system', involving both the extraction ofperceptual information and the control of action--Amazon.com.

This is a book about how we see: the environment around us (its surfaces, their layout, and their colors and textures); where we are in the environment; whether or not we are moving and, if we are, where we are going; what things are good for; how to do things (to thread a needle or drive an automobile); or why things look as they do. The basic assumption is that vision depends on the eye which is connected to the brain. The author suggests that natural vision depends on the eyes in the head on a body supported by the ground, the brain being only the central organ of a complete visual system. When no constraints are put on the visual system, people look around, walk up to something interesting and move around it so as to see it from all sides, and go from one vista to another. That is natural vision -- and what this book is about.

Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.

This book presents an interdisciplinary overview of the main facts and theories that guide contemporary research on visual perception. While the chapters cover virtually all areas of visual science, from philosophical foundations to computational algorithms, and from photoreceptor processes to neuronal networks, no attempt has been made to provide an exhaustive treatment of these topics. Rather, researchers from such diverse disciplines as psychology, neurophysiology, anatomy, and clinical vision sciences have worked together to review some of the most important correlations between perceptual phenomena and the underlying neurophysiological processes and mechanisms. The book is thus intended to serve as an advanced text for graduate students and as a guide for all vision researchers to understanding current progress outside their specialized fields of interest.ï Examines parallel processing of visual informationï Discusses links between physiologically-measured receptive fields and psychophysically-measured perceptive fieldsï Presents a spatial sampling by the retina and cortical modulesï Covers signal transduction and the sites of adaptationï Describes a single-cell analysis of attentionï Discusses computational models of vision

The philosophy of perception is a microcosm of the metaphysics of mind. Its central problems—What is perception? What is the nature of perceptual consciousness? How can one fit an account of perceptual experience into a broader account of the nature of the mind and the world?—are at the heart of metaphysics. Rather than try to cover all of the many strands in the philosophy of perception, this book focuses on a particular orthodoxy about the nature of visual perception. The central problem for visual science has been to explain how the brain bridges the gap between what is given to the visual system and what is actually experienced by the perceiver. The orthodox view of perception is that it is a process whereby the brain, or a dedicated subsystem of the brain, builds up representations of relevant figures of the environment on the basis of information encoded by the sensory receptors. Most adherents of the orthodox view also believe that for every conscious perceptual state of the subject, there is a particular set of neurons whose activities are sufficient for the occurrence of that state. Some of the essays in this book defend the orthodoxy; most criticize it; and some propose alternatives to it. Many of the essays are classics. Contributors G.E.M. Anscombe, Dana Ballard, Daniel Dennett, Fred Dretske, Jerry Fodor, H.P. Grice, David Marr, Maurice Merleau-Ponty, Zenon Pylyshyn, Paul Snowdon, and P.F. Strawson

A comprehensive and integrated introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning (in contrast to learning in the cognitive or motor domains), and it has become an active area of research of both theoretical and practical significance. This book offers a comprehensive introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Perceptual Learning explores the tradeoff between the competing goals of system stability and system adaptability, signal and noise, retuning and reweighting, and top-down versus bottom-down processes. It examines and evaluates existing research and potential future directions, including evidence from behavior, physiology, and brain imaging, and existing perceptual learning applications, with a focus on important theories and computational models. It also compares visual learning to learning in other perceptual domains, and considers the application of visual training methods in the development of perceptual expertise and education as well as in remediation for limiting visual conditions. It provides an integrated treatment of the subject for students and researchers and for practitioners who want to incorporate perceptual learning into their practice.Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning, in contrast with learning in the cognitive or motor domains. Perceptual learning has been a very active area of research of both theoretical and practical interest. Research on perceptual learning is of theoretical significance in illuminating plasticity in adult perceptual systems, and in understanding the limitations of human information processing and how to improve them. It is of practical significance as a potential method for the development of perceptual expertise in the normal population, for its potential in advancing development and supporting healthy aging, and for noninvasive amelioration of deficits in challenged populations by training. Perceptual learning has become an increasingly important topic in biomedical research. Practitioners in this area include science disciplines such as psychology, neuroscience, computer sciences, and optometry, and developers in applied areas of learning game design, cognitive development and aging, and military and biomedical applications. Commercial development of training products, protocols, and games is a multi-billion dollar industry. Perceptual learning provides the basis for many of the developments in these areas. This book is written for anyone who wants to understand the phenomena and theories of perceptual learning or to apply the technology of perceptual learning to the development of training methods and products. Our aim is to provide an introduction to those researchers and students just entering this exciting field, to provide a comprehensive and integrated treatment of the phenomena and the theories of perceptual learning for active perceptual learning researchers, and to describe and develop the basic techniques and principles for readers who want to successfully incorporate perceptual learning into applied developments. The book considers the special challenges of perceptual learning that balance the competing goals of system stability and system adaptability. It provides a systematic treatment of the major phenomena and models in perceptual learning, the determinants of successful learning and of specificity and transfer. The book provides a cohesive consideration of the broad range of perceptual learning through the theoretical framework of incremental learning of reweighting evidence that supports successful task performance. It provides a detailed analysis of the mechanisms by which perceptual learning improves perceptual limitations, the relationship of perceptual learning and the critical period of development, and the semi-supervised modes of learning that dominate perceptual learning. It considers limitations and constraints on learning multiple tasks and stimuli simultaneously, the implications of training at high or low levels of performance accuracy, and the importance of feedback to perceptual learning. The basis of perceptual learning in physiology is discussed along with the relationship of visual perceptual learning to learning in other sensory domains. The book considers the applications of perceptual learning in the development of expertise, in education and gaming, in training during development and aging, and applications to remediation of mental health and vision disorders. Finally, it applies the phenomena and models of perceptual learning to considerations of optimizing training.

The philosophy of perception investigates the nature of our sensory experiences and their relation to reality. Raising questions about the conscious character of perceptual experiences, how they enable us to acquire knowledge of the world in which we live, and what exactly it is we are aware of when we hallucinate or dream, the philosophy of perception is a growing area of interest in metaphysics, epistemology, and philosophy of mind. William Fish’s Philosophy of Perception introduces the subject thematically, setting out the major theories of perception together with their motivations and attendant problems. While providing historical background to debates in the field, this comprehensive overview focuses on recent presentations and defenses of the different theories, and looks beyond visual perception to take into account the role of other senses. Topics covered include: the phenomenal principle perception and hallucination perception and content sense-data, adverbialism and idealism disjunctivism and relationalism intentionalism and combined theories the nature of content veridicality perception and empirical science non-visual perception. With summaries and suggested further reading at the end of each chapter, this is an ideal introduction to the philosophy of perception.