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Time Will Tell
Attention is a central concept in psychology. The term 'attention' itself has persisted, even though it implies a static, insulated capacity that we use when it is necessary to focus upon some relevant or stimulating event. Riess Jones presents a different way of thinking about attention; one that describes it as a continuous activity that is based on energy fluctuating in time. A majority of attention research fails to examine influence of event time structure (i.e., a speech utterance) on listeners' moment-to-moment attending. General research ignores listeners endowed with innate, as well as acquired, temporal biases. Here, attending is portrayed as a dynamic interaction of an individual ...
Event-Related Dynamics of Brain Oscillations
Research on brain oscillations and event-related electroencephalography (EEG) and event-related (de-) synchronization (ERD/ERS) in particular became a rapidly growing field in the last decades. A large number of laboratories worldwide are using ERD/ERS to study cognitive and motor brain function and the importance of this tool in neurocognitive research is widely recognized. This book is a summary of the most current research, methods, and applications of the study of event-related dynamics of brain oscillations. Facing the rapid progress in this field, it brings together, on the one side, fundamental questions of the underlying events, which still remain to be clarified and, on the other si...
Time and the Brain
Since the days of Galileo, time has been a fundamental variable in scientific attempts to understand the natural world. Once the first recordings of electrical activity in the brain had been made, it became clear that electrical signals from the brain consist of very complex temporal patterns. This can now be demonstrated by recordings at the single unit level and by electroencephalography (EEG). Time and the Brain explores modern approaches to these temporal aspects of electrical brain activity. The temporal structure as revealed from trains of impulses from single nerve cells and from EEG recordings are discussed in depth together with an exploration of correlations with behaviour and psychology. The single cell and EEG approaches often tend to be segregated as the research occurs in laboratories in different parts of the world. By bringing together modern information acquired using both methods it is hoped that they can become better integrated as complimentary windows on the information processing achieved by the brain.
Multidisciplinary Approaches to Language Production
This volume comprises contributions from different disciplines (cognitive psychology, linguistics, computer science, neuroscience) concerned with the generation of natural speech. It summarizes the outcome of a six-year long priority program funded by the German Research Foundation (DFG) that aimed at bringing together colleagues with different viewpoints but sharing a principal interest in the cognitive processes underlying language production. The result is a state-of-the-art discussion of one of the most fascinating branches of human behavior taking into account a particularly rich multidisciplinary empirical data base.
The Structure of Long-term Memory
How is information stored and retrieved from long-term memory? It is argued that any systematic attempt to answer this question should be based on a particular set of specific representational assumptions that have led to the development of a new memory theory -- the connectivity model. One of the crucial predictions of this model is that, in sharp contrast to traditional theories, the speed of processing information increases as the amount and complexity of integrated knowledge increases. In this volume, the predictions of the model are examined by analyzing the results of a variety of different experiments and by studying the outcome of the simulation program CONN1, which illustrates the representation of complex semantic structures. In the final chapter, the representational assumptions of the connectivity model are evaluated on the basis of neuroanatomical and physiological evidence -- suggesting that neuroscience provides valuable knowledge which should guide the development of memory theories.
Memory and Brain Dynamics
Memory itself is inseparable from all other brain functions and involves distributed dynamic neural processes. A wealth of publications in neuroscience literature report that the concerted action of distributed multiple oscillatory processes (EEG oscillations) play a major role in brain functioning. The analysis of function-related brain oscillatio
The Structure of Long-term Memory
How is information stored and retrieved from long-term memory? It is argued that any systematic attempt to answer this question should be based on a particular set of specific representational assumptions that have led to the development of a new memory theory -- the connectivity model. One of the crucial predictions of this model is that, in sharp contrast to traditional theories, the speed of processing information increases as the amount and complexity of integrated knowledge increases. In this volume, the predictions of the model are examined by analyzing the results of a variety of different experiments and by studying the outcome of the simulation program CONN1, which illustrates the representation of complex semantic structures. In the final chapter, the representational assumptions of the connectivity model are evaluated on the basis of neuroanatomical and physiological evidence -- suggesting that neuroscience provides valuable knowledge which should guide the development of memory theories.
Current Catalog
First multi-year cumulation covers six years: 1965-70.
From Brain Dynamics to the Mind
From Brain Dynamics to the Mind: Spatiotemporal Neuroscience explores how the self and consciousness is related to neural events. Sections in the book cover existing models used to describe the mind/brain problem, recent research on brain mechanisms and processes and what they tell us about the self, consciousness and psychiatric disorders. The book presents a spatiotemporal approach to understanding the brain and the implications for artificial intelligence, novel therapies for psychiatric disorders, and for ethical, societal and philosophical issues. Pulling concepts from neuroscience, psychology and philosophy, the book presents a modern and complete look at what we know, what we can surm...
Detection of Change
This volume presents the first systematic overview of how event-related brain potential (ERP), cognitive electroencephalography (EEG), and functional magnetic imaging (fMRI) measures reflect the mental events arising from changes in sensory stimulation. The contents are fresh, the literature distillations highly informative, and the range of topics extremely useful for cognitive neuroscientists, psychologists, and researchers.
