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The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.
A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for fMRI experiments, covering every step—from preprocessing to advanced methods for assessing functional connectivity—as well as the most popular multivariate approaches. The goal is not to describe wh...
Emotional Cognition gives the reader an up to date overview of the current state of emotion and cognition research that is striving for computationally explicit accounts of the relationship between these two domains. Many different areas are covered by some of the leading theorists and researchers in this area and the book crosses a range of domains, from the neurosciences through cognition and formal models to philosophy. Specific chapters consider, amongst other things, the role of emotion in decision-making, the representation and evaluation of emotive events, the relationship of affect on working memory and goal regulation. The emergence of such an integrative, computational, approach in emotion and cognition research is a unique and exciting development, one that will be of interest to established scholars as much as graduate students feeling their way in this area, and applicable to research in applied as well as purely theoretical domains. (Series B)
Handbook of Categorization in Cognitive Science, Second Edition presents the study of categories and the process of categorization as viewed through the lens of the founding disciplines of the cognitive sciences, and how the study of categorization has long been at the core of each of these disciplines. The literature on categorization reveals there is a plethora of definitions, theories, models and methods to apprehend this central object of study. The contributions in this handbook reflect this diversity. For example, the notion of category is not uniform across these contributions, and there are multiple definitions of the notion of concept. Furthermore, the study of category and categori...
Attention and Implicit Learning provides a comprehensive overview of the research conducted in this area. The book is conceived as a multidisciplinary forum of discussion on the question of whether implicit learning may be depicted as a process that runs independently of attention. The volume also deals with the complementary question of whether implicit learning affects the dynamics of attention, and it addresses these questions from perspectives that range from functional to neuroscientific and computational approaches. The view of implicit learning that arises from these pages is not that of a mysterious faculty, but rather that of an elementary ability of the cognitive systems to extract the structure of their environment as it appears directly through experience, and regardless of any intention to do so. Implicit learning, thus, is taken to be a process that may shape not only our behavior, but also our representations of the world, our attentional functions, and even our conscious experience. (Series B)
Measurement, Judgment, and Decision Making provides an excellent introduction to measurement, which is one of the most basic issues of the science of psychology and the key to science. Written by leading researchers, the book covers measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making. Each chapter provides a useful handbook summary and unlocks the door for a scholar who desires entry to that field. Any psychologist who manipulates an independent variable that affects a psychological construct or who uses a numerical dependent variable to measure a psychological construct will want to study this book. - Written by leading researchers in fields of measurement, psychophysical scaling, multidimensional scaling, stimulus categorization, and behavioral decision making - Provides basic definitions and summaries of theories - Presents summaries and citations to relevant literature - Contains new developments, current controversies, and open questions - Explains relationships among fields and historical links
The process of constructing concepts underpins our capacity to encode information in an efficient and competent manner and also, ultimately, our ability to think in terms of abstract ideas such as justice, love and happiness. But what are the mechanisms which correspond to psychological categorization processes? This book unites many prominent approaches in modelling categorization. Each chapter focuses on a particular formal approach to categorization, presented by the proponent(s) or advocate(s) of that approach, and the authors consider the relation of this approach to other models and the ultimate objectives in their research programmes. The volume evaluates progress that has been made in the field and potential future developments. This is an essential companion to any scientist interested in the formal description of categorization and, more generally, in formal approaches to cognition. It will be the definitive guide to formal approaches in categorization research for years to come.
Emotional Cognition gives the reader an up to date overview of the current state of emotion and cognition research that is striving for computationally explicit accounts of the relationship between these two domains. Many different areas are covered by some of the leading theorists and researchers in this area and the book crosses a range of domains, from the neurosciences through cognition and formal models to philosophy. Specific chapters consider, amongst other things, the role of emotion in decision-making, the representation and evaluation of emotive events, the relationship of affect on working memory and goal regulation. The emergence of such an integrative, computational, approach in emotion and cognition research is a unique and exciting development, one that will be of interest to established scholars as much as graduate students feeling their way in this area, and applicable to research in applied as well as purely theoretical domains. (Series B)