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This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Recent years have seen a remarkable expansion of knowledge about the anatomical organization of the part of the brain known as the basal ganglia, the signal processing that occurs in these structures, and the many relations both to molecular mechanisms and to cognitive functions. This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Organized in four parts - fundamentals, motor functions and working memories, reward mechanisms, and cognitive and memory operations - the chapters present a unique admixture of theory, cognitive psychology, anatomy, and both cellular- and systems- level physiology written by experts in each of these areas. The editors have provided commentaries as a helpful guide to each part. Many new discoveries about the biology of the basal ganglia are summarized, and their impact on the computational role of the forebrain in the planning and control of complex motor behaviors discussed. The various findings point toward an unexpected role for the basal ganglia in the contextual analysis of the environment and in the adaptive use of this information for the planning and execution of intelligent behaviors. Parallels are explored between these findings and new connectionist approaches to difficult control problems in robotics and engineering. Contributors James L. Adams, P. Apicella, Michael Arbib, Dana H. Ballard, Andrew G. Barto, J. Brian Burns, Christopher I. Connolly, Peter F. Dominey, Richard P. Dum, John Gabrieli, M. Garcia-Munoz, Patricia S. Goldman-Rakic, Ann M. Graybiel, P. M. Groves, Mary M. Hayhoe, J. R. Hollerman, George Houghton, James C. Houk, Stephen Jackson, Minoru Kimura, A. B. Kirillov, Rolf Kotter, J. C. Linder, T. Ljungberg, M. S. Manley, M. E. Martone, J. Mirenowicz, C. D. Myre, Jeff Pelz, Nathalie Picard, R. Romo, S. F. Sawyer, E Scarnat, Wolfram Schultz, Peter L. Strick, Charles J. Wilson, Jeff Wickens, Donald J. Woodward, S. J. Young
The field of human development focuses on the growth and development of the human being including physical, social, psychological, and emotional development. Under the broad umbrella of the term human development you find countless topics that range from charting the emotional attachment of an infant to his or her parents and its long-term effects on well-being, media violence and adolescents′ behavior, or factors moderating the natural decline in physical and mental abilities associated with aging. The Encyclopedia of Human Development is the first comprehensive, authoritative, and informative reference work that presents state-of-the-art research and ready-to-use facts from the fields of psychology, individual and family studies, and education in a way that is not too technical. With more than 600 entries, this three-volume Encyclopedia covers topics as diverse as adolescence, cognitive development, education, family, gender differences, identity, longitudinal research, personality development, prenatal development, temperament, and more. Key Features Provides cross-disciplinary coverage, with contributions from experts in the fields of psychology, education, human development and family studies, and gerontology Highlights classic studies and theories and provides brief biographies of notable researchers and theorists Takes a lifespan approach by including several "anchor essays" that cover specific phases of development such as prenatal, infancy, childhood, adolescence, early and middle adulthood, later adulthood and aging Begins with an Introduction that details the scope, rationale, and audience for the work The cross-disciplinary field of human development is one that captures interest among and holds practical relevance for the general public as well as academia, therefore this engaging Encyclopedia will be a welcome addition to any academic or public library.
Originally published in 1976, the authors present a theory of cognitive development based upon an information-processing approach. Here is one of the first attempts to apply the information-processing view of cognitive psychology to developmental issues raised by empirical work in the Piagetian tradition.
Human Information Processing: An Introduction to Psychology, Second Edition, was written to reflect recent developments, as well as anticipate new directions, in this flourishing field. The ideas of human information processing are relevant to all human activities, most especially those of human interactions. The book discusses all the traditional areas and then goes beyond: consciousness, states of awareness, multiple levels of processing (and of awareness), interpersonal communication, emotion, and stress. The book begins with an introduction to some of the more interesting phenomena of perception and poses some of the puzzles faced by those who would attempt to unravel the structures. Separate chapters cover the systems of most interest for human communication: the visual system and the auditory system; the structure of the nervous system; and the systems of memory: sensory information storage, short-term memory, and long-term memory. Subsequent chapters deal with the different aspects of memory, including show how memory is used in thought, in language, and in decision making. Also examined are the neurological basis of memory and the representation of knowledge within memory.
The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas.The book is composed by 7 sections: UNCERTAINTYPREFERENCESCLASSIFICATION AND DATA MININGAGGREGATION AND MULTI-CRITERIA DECISION MAKINGKNOWLEDGE REPRESENTATION•The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. •The book can help to build brigs among theories and methods methods for the management of uncertainty. •The book addresses issues which have a position of centrality in our information-centric world. •The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). •The book contributes to the goal: an efficient use of the information for a good decision strategy.APPLIED DOMAINS· The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations.· The book can help to build brigs among theories and methods methods for the management of uncertainty.· The book addresses issues which have a position of centrality in our information-centric world.· The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization).· The book contributes to the goal: an efficient use of the information for a good decision strategy.
First published in 1979. Basic research, at its essence, is exploration of the unknown. When it is successful, isolated pieces of reality are deciphered and described. Most of the history of an empirical discipline consists of probes into this darkness-some bold, others careful and systematic. Most of these efforts are initially incorrect. At best, they are distant approximations to a reality that may not be correctly specified for centuries. How, then, can we describe the fragmented knowledge that characterizes a scientific discipline for most of its history? A dynamic field of science is held together by its paradigm. The author’s think it is essential to adequate scientific education to teach paradigms, and believe that there is an effective method. The method emphasizes the integral nature, rather than the objective correctness, of a given set of consensual commitments. They believe that paradigmatic content can be effectively combined with the technical research literature commonly presented in scientific texts. This book represents the culmination of those beliefs.
Political behavior is the result of innumerable unnoticed forces and conscious deliberation is often a rationalization of automatically triggered feelings and thoughts. Citizens are very sensitive to environmental contextual factors such as the title 'President' preceding 'Obama' in a newspaper headline, upbeat music or patriotic symbols accompanying a campaign ad, or question wording and order in a survey, all of which have their greatest influence when citizens are unaware. This book develops and tests a dual-process theory of political beliefs, attitudes and behavior, claiming that all thinking, feeling, reasoning and doing have an automatic component as well as a conscious deliberative component. The authors are especially interested in the impact of automatic feelings on political judgments and evaluations. This research is based on laboratory experiments, which allow the testing of five basic hypotheses: hot cognition, automaticity, affect transfer, affect contagion and motivated reasoning.
This volume is segmented into four sections: historical changes in reading, processes of reading and literacy, models of reading and literacy processes, and new paradigms. The process section should assist students in understanding and visualizing the exploration of important research questions.
A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.
The central theme of this book is the role of energetical factors in the regulation of human information processing activity. This is a restatement of one of the classic problems of psychology - that of acc ounting for motivational or intensive aspects of behaviour, as opposed to structural or directional aspects. The term "energetics" was first used in the 1930's by Freeman, Duffy and others, following Cannon's energy mobilization view of emotion and motivation. The original concept had a limited life, probably because of its unnecessary focus on relativ ely peripheral processes, but it provided the foundations for the con cepts of "arousal" and "activation" which became the popular motivational constructs of the 1950's and 1960's. Now, these too are found wanting. The original assumptions of a unitary, non-specific process based on activation of the brain stem reticular formation have been shown to be misleading. Current work in neurobiology has demonstrated evidence of discrete neurotransmitter systems having quite specific information processing functions, and central roles in the regulation of behaviour. Even the venerable curvilinear relationship between motivation and per formance (the Yerkes-Dodson law) has been shown to be, at best, an unhelpful oversimplification. On a different front psychophysiologists have found complex patterns in the response of different bodily systems to external stressors and to task demands.