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Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.
Learning and Memory: A Comprehensive Reference, Second Edition is the authoritative resource for scientists and students interested in all facets of learning and memory. This updated edition includes chapters that reflect the state-of-the-art of research in this area. Coverage of sleep and memory has been significantly expanded, while neuromodulators in memory processing, neurogenesis and epigenetics are also covered in greater detail. New chapters have been included to reflect the massive increase in research into working memory and the educational relevance of memory research. No other reference work covers so wide a territory and in so much depth. Provides the most comprehensive and authoritative resource available on the study of learning and memory and its mechanisms Incorporates the expertise of over 150 outstanding investigators in the field, providing a ‘one-stop’ resource of reputable information from world-leading scholars with easy cross-referencing of related articles to promote understanding and further research Includes further reading for each chapter that helps readers continue their research Includes a glossary of key terms that is helpful for users who are unfamiliar with neuroscience terminology
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
Interoception is the body-to-brain axis of sensations that originates from the internal body and visceral organs. It plays a unique role in ensuring homeostasis, allowing human beings to experience and perceive the state of their bodies at any one time. However, interoception is rapidly gaining interest amongst those studying the human mind. It is believed that beyond homeostasis interoception is fundamental in understanding human emotion and motivation and their impact upon behavior. That link between interoception and self-awareness is supported by a growing body of experimental findings. The Interoceptive Mind: From Homeostasis to Awareness offers a state-of-the-art overview of, and insights into, the role of interoception for mental life, awareness, subjectivity, affect, and cognition. Structured across three parts, this multidisciplinary volume highlights the role that interoceptive signals, and our awareness of them, play in our mental life. It considers deficits in interoceptive processing and awareness in various mental health conditions. But it also considers the equally important role of interoception for well-being, approaching interoception from both a theoretical and a philosophical perspective. Written by leading experts in their fields, all chapters within this volume share a common concern for what it means to experience oneself, for the crucial role of emotions, and for issues of health and wellbeing. Each of those concerns is discussed on the joint basis of our bodily existence and interoception. The research presented here will undoubtedly accelerate the much-anticipated coming of age of interoceptive research in psychology, cognitive neurosciences and philosophy, making this vital reading for anyone working in those fields.
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

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