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.
How do we gain access to things as they are? Although we routinely take our self-made pictures to be veridical representations of reality, in actuality we choose (albeit unwittingly) or construct what we see. By movements of the eyes, the direction of our gaze, we create meaning. In Brain and the Gaze, Jan Lauwereyns offers a novel reformulation of perception and its neural underpinnings, focusing on the active nature of perception.
There are few articles in science that remain relevant over a span of 100 years; Max Wertheimer’s pioneering experimental studies on apparent motion and figural organization are notable exceptions. Wertheimer’s 1912 account of motion perception started a revolution and established the Gestalt school of psychology. It also paved the way for further investigations of apparent motion perception, including subsequent research by Oliver Braddick, Stuart Anstis, Vilaynur Ramachandran, and others.
Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas.
This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications.
Although William James declared in 1890, “Everyone knows what attention is,” today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale.
Can a blind person see? The very idea seems paradoxical. And yet, if we conceive of "seeing" as the ability to generate internal mental representations that may contain visual details, the idea of blind vision becomes a concept subject to investigation. In this book, Zaira Cattaneo and Tomaso Vecchi examine the effects of blindness and other types of visual deficit on the development and functioning of the human cognitive system.
The recognition of faces is a fundamental visual function with importance for social interaction and communication. Scientific interest in facial recognition has increased dramatically over the last decade. Researchers in such fields as psychology, neurophysiology, and functional imaging have published more than 10,000 studies on face processing.
Although Hermann von Helmholtz was one of most remarkable figures of nineteenth-century science, he is little known outside his native Germany. Helmholtz (1821-1894) made significant contributions to the study of vision and perception and was also influential in the painting, music, and literature of the time; one of his major works analyzed tone in music.
David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation.