The use of models has been important to the historical and contemporary study of the human brain, yet very little study by social scientists has been dedicated to how the brain sciences develop and use models to better understand what brains are and how they work, including the complex entanglements between brains, bodies and their environments. Vital Models: The Making and Use of Models in the Brain Sciences explores the history and use of brain models from clinical psychiatry to psychopharmacology and cybernetics, as well as developments in digital brain modeling, simulation, imaging and connectomics. This timely volume helps both scientists and students better understand the variety, strengths, weaknesses and applicability of models in neuroscience. - Presents a timely update on the topic of brain research and modeling techniques - Contains sections from true authorities in the field

Vital Notes for Nurses: Nursing Models, Theories and Practiceprovides a concise, accessible introduction to the development,application and evaluation of nursing theories and clearly outlinestheir relevance to everyday nursing practice. It encourages thereader to view theories from a broader conceptual base, enablingthem to be more objective when it comes to clinical practice. Suitable for nursing students and newly qualified nurses, theauthors explore the relationship between nursing theories andpractice, specifically analysing their origins, development,selection and use. It discusses how nursing theories evolve, howthey relate to nursing roles, how to select a nursing theoryrelevant to your practice, and how to evaluate theoriescritically. Key Features: • Clearly examines the relationship between nursingtheory, clinical practice and nursing roles • Written in a clear, accessible style which assumes no priorknowledge • Useful to all nursing students on the common foundationprogramme as well as newly qualified nurses. • Each chapter includes features such as activities, casestudies and learning objectives • In the Vital Notes for Nurses series

Clinical musings on the nature of reality and “known experience.” Therapists must rely on their clients’ reporting of experience in order to assess, treat, and offer help. Yet we all experience the world through various filters of one sort or another, and our experiences are transformed through several nonconscious processes before reaching our conscious awareness. Science, philosophy, and wisdom traditions share the belief that our awareness is very restricted. How, then, can anyone accurately report their experience, let alone get help with it? Neuropsychologist Aldrich Chan examines how our experience of reality is assembled and shaped by biological, psychological, sociocultural, and existential processes. Each chapter explores processes within these domains that may act as “veils.” Topics in the book include: the default mode network, cognitive distortions, decision-making heuristics, the interconnected mind, memory, and cultural concepts of distress. By understanding the ways in which reality can be distorted, clinicians can more effectively help their clients reach their personal psychotherapeutic goals.

The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.

A game-changing book on the origins of life, called the most important scientific discovery 'since the Copernican revolution' in The Observer.

This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.

Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.