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Psychophysics: A Practical Introduction, Second Edition, is the primary scientific tool for understanding how the physical world of colors, sounds, odors, movements, and shapes translates into the sensory world of sight, hearing, touch, taste, and smell; in other words, how matter translates into mind. This timely revision provides a unique introduction to the techniques for researching and understanding how the brain translates the external physical world to the internal world of sensation. The revision expands and refines coverage of the basic tools of psychophysics research and better integrates the theory with the supporting software. The new edition continues to be the only book to combine, in a single volume, the principles underlying the science of psychophysical measurement and the practical tools necessary to analyze data from psychophysical experiments. The book, written in a tutorial style, will appeal to new researchers as well as to seasoned veterans. This introduction to psychophysics research methods will be of interest to students, scholars and researchers within sensory neuroscience, vision research, behavioral neuroscience, and the cognitive sciences. - Presents a large variety of analytical methods explained for the non-expert - Provides a novel classification scheme for psychophysics experiments - Disseminates the pros and cons of different psychophysical procedures - Contains practical tips for designing psychophysical experiments
Psychophysical theory exists in two distinct forms -- one ascribes the explanation of phenomena and empirical laws to sensory processes. Context effects arising through the use of particular methods are an unwanted nuisance whose influence must be eliminated so that one isolates the "true" sensory scale. The other considers psychophysics only in terms of cognitive variables such as the judgment strategies induced by instructions and response biases. Sensory factors play a minor role in cognitive approaches. This work admits the validity of both forms of theory by arguing that the same empirical phenomena should be conceptualized in two alternative, apparently contradictory, ways. This acceptance of opposites is necessary because some empirical phenomena are best explained in terms of sensory processes, while others are best ascribed to central causes. The complementarity theory stresses the "mutually completing" nature of two distinct models. The first assigns importance to populations of sensory neurons acting in the aggregate and is formulated to deal with sensory effects. The second assigns importance to judgment uncertainty and to the subject strategies induced by experimental procedures. This model is formulated to explain context effects. Throughout the text, the exposition is interlaced with mathematics, graphs, and computer simulations designed to reveal the complementary nature of psychophysical explanations.
This book presents the basic concepts of classical psychophysics, derived from Gustav Fechner, as seen from the perspective of modern measurement theory. The theoretical discussion is elucidated with examples and numerous problems, and solutions to one-quarter of the problems are provided in the text.
This volume presents a series of studies that expand laws, invariants, and principles of psychophysics beyond its classical domain of sensation. This book's goal is to demonstrate the extent of the domain of psychophysics, ranging from sensory processes, through sensory memory and short-term memory issues, to the interaction between sensation and action. The dynamics and timing of human performance are a further important issue within this extended framework of psychophysics: Given the similarity of the various cortical areas in terms of their neuroanatomical structure, it is an important question whether this similarity is paralleled by a similarity of processes. These issues are addressed by the contributions in the present volume using state-of-the-art research methods in behavioral research, psychophysiology, and mathematical modeling. The book is divided into four sections. Part I presents contributions concerning the classical domain of psychophysical judgment. The next two parts are concerned with elementary and higher-order processes and the concluding section deals with psychophysical models. The sections are introduced by guest editorials contributed by independent authors. These editorials present the authors' personals view on the respective section, providing an integrated account of the various contributions or highlighting their focus of interest among them. While also voicing their own and sometimes different point of view, they contribute to the process of discussion that makes science so exciting. This volume should be of great interest to advanced students in neuroscience, cognitive science, psychology, neuropsychology, and related areas who seek to evaluate the range and power of psychological work today. Established scientists in those fields will also appreciate the variety of issues addressed within the same methodological framework and their multiple interconnections and stimulating "cross-talk."
Sensory Neuroscience: Four Laws of Psychophysics organizes part of psychophysics -- a science of quantitative relationships between human sensations and the stimuli that evoke them. Although psychophysics belongs to sensory neuroscience, and is coupled to neurophysiology, it has also branched out to various specialized disciplines, including the disciplines of vision and hearing, ophthalmology, optometry, otology, and audiology. Due to this diversification and fragmentation, psychophysics has had an ad-hoc, phenomenological orientation. Besides Weber’s law of differential sensitivity, and the still-controversial Stevens’ power law, it has lacked a systematic grid of scientific laws. Sensory Neuroscience: Four Laws of Psychophysics provides valid unifying principles and systematic applications for this otherwise fragmented precursor of experimental psychology, and defines four multisensory relationships of substantial generality between sensations and the underlying stimulus variables. This book will be particularly useful to auditory researchers, experimental psychologists, and behavioral neuroscientists.
Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. - Fully revised material and corrected text - Additional chapters on extracellular potentials, motion detection and neurovascular coupling - Revised selection of exercises with solutions - More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts
A comprehensive treatment of the skills and techniques needed for visual psychophysics, from basic tools to sophisticated data analysis. Vision is one of the most active areas in biomedical research, and visual psychophysical techniques are a foundational methodology for this research enterprise. Visual psychophysics, which studies the relationship between the physical world and human behavior, is a classical field of study that has widespread applications in modern vision science. Bridging the gap between theory and practice, this textbook provides a comprehensive treatment of visual psychophysics, teaching not only basic techniques but also sophisticated data analysis methodologies and theoretical approaches. It begins with practical information about setting up a vision lab and goes on to discuss the creation, manipulation, and display of visual images; timing and integration of displays with measurements of brain activities and other relevant techniques; experimental designs; estimation of behavioral functions; and examples of psychophysics in applied and clinical settings. The book's treatment of experimental designs presents the most commonly used psychophysical paradigms, theory-driven psychophysical experiments, and the analysis of these procedures in a signal-detection theory framework. The book discusses the theoretical underpinnings of data analysis and scientific interpretation, presenting data analysis techniques that include model fitting, model comparison, and a general framework for optimized adaptive testing methods. It includes many sample programs in Matlab with functions from Psychtoolbox, a free toolbox for real-time experimental control. Once students and researchers have mastered the material in this book, they will have the skills to apply visual psychophysics to cutting-edge vision science.
This volume describes concurrent engineering developments that affect or are expected to influence future development of digital diagnostic imaging. It also covers current developments in Picture Archiving and Communications System (PACS) technology, with particular emphasis on integration of emerging imaging technologies into the hospital environment.