Physiological Correlates of Emotion


Book Description

Physiological Correlates of Emotion focuses on the major experimental approaches currently applied to the study of emotion and its physiological or behavioral parameters. It explores the heritability and developmental aspects of emotional behavior as well as its neurochemical and endocrine, neurophysiological, and psychophysiological correlates. In particular, it considers the modification of emotional behavior by intracranial administration of chemicals, the link between the limbic brain and psychoses, the role of nonspecific reticulo-thalamo-cortical systems in emotion, modulation of emotion by cerebral radio stimulation, and the role of brain function in emotion. Organized into five sections comprised of 13 chapters, this book begins with a historical overview of research in emotion and behavior theory. It then discusses the studies dealing with heritability of emotional behavior in animals. The remaining chapters tackle the maturation of social-emotional patterns, localization of biogenic amines in the brain, psychophysiological experiments on the endocrine and autonomic correlates of emotional behavior, and psychotic manifestations of limbic dysfunction in humans. It explains the two-way radio communication with the human brain, the behavioral significance of bradycardia and hypotension, the perception and labeling of bodily changes as determinants of emotional behavior, and the conditioned emotional states. The book concludes with a phenomenological analysis of brain function in emotion. This book is essential reading for psychologists, psychiatrists, physiologists, and those working in the medical and behavioral sciences.










Feelings and Emotions


Book Description

Feelings and Emotions: The Loyola Symposium covers knowledge in the field of emotion. The book discusses the theories of emotions based on biological considerations; the neural and physiological correlates of feeling and emotion; and cognitive theories of feeling and emotion. The text also describes the psychological approaches to the study of emotion; the mood theory and measurement; as well as the developments related to the search for significant relations between private events and both behavioral and physiological events. The role of feelings and emotions in personality is also encompassed. Psychologists, physiologists, anthropologists, sociologists, biochemists, psychiatrists, and students taking psychology courses will find the book useful.







Active Inference


Book Description

The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.










The Regulation of Emotion


Book Description

The main goal of this volume is to present, in an integrated framework, the newest, most contemporary perspectives on emotion regulation. The book includes empirically-grounded work and theories that are central to our understanding of the processes that constitute emotion regulation and their consequences. This volume has several secondary aims, as well. One is to highlight several newer subareas in the domain of emotion regulation that hold much promise, such as the relationship between psychopathology and emotion regulation. The book also presents data and theory that have applied value that may be useful for people working in such fields as communication, psychotherapy, and counseling. Finally, the volume gathers contributions across a variety of subfields and includes authors working not just in North America but in other areas of the world. To help achieve these goals, the volume has been organized to begin with the presentation of the most molecular aspects of emotion regulation and to end with the most molar ones. It comprises four parts, each integrating different lines of research from related domains. Part I is devoted to basic processes in emotion regulation, such as neurological, physiological or cognitive processes; part II examines the interplays between emotion regulation and individual regulation; part III presents work on individual differences and developmental processes in emotion regulation; and part IV examines the social functions and constraints of emotion regulation.




Classifying Emotion Using Streaming of Physiological Correlates of Emotion


Book Description

The ability for a computer to recognize emotions would have many uses. In the field of human-computer interaction, it would be useful if computers could sense if a user is frustrated and offer help (Lisetti & Nasoz, 2002), or it could be used in cars to predict stress or road rage (Nasoz, Lisetti, & Vasilakos, 2010). Also, it has uses in the medical field with emotional therapy or monitoring patients (Rebenitsch, Owen, Brohil, Biocca, & Ferydiansyah, 2010). Emotion recognition is a complex subject that combines psychology and computer science, but it is not a new problem. When the question was first posed, researchers examined at physiological signals that could help differentiate an emotion (Schachter & Singer, 1962). As the research progressed, researchers examined ways in which computers could recognize emotions, many of which were successful. Previous research has not yet looked at the emotional data as streaming data, or attempted to classify emotion in real time. This thesis extracts features from a window of simulated streaming data to attempt to classify emotions in real time. As a corollary, this method can also be used to attempt to identify the earliest point an emotion can be predicted. The results show that emotions can be classified in real time, and applying a window and feature extraction leads to better classification success. It shows that this method may be used to determine if an emotion could be predicted before it is cognitively experienced, but it could not predict the emotion transitional state. More research is required before that goal can be achieved.