在线阅读本书 A textbook for psychology, neuroscience, pre-medical students, and everybody interested in the neuroscience of cognition. A wave of new research is transforming our understanding of the human mind and brain. Many educational fields now require a basic understanding of the new topic of cognitive neuroscience. However, available textbooks are written more for biology a...(展开全部)

This is the fully revised and updated second edition of the very sucessful introductory textbook on cognitive neuroscience. Written by two leading experts in the field, thisbook takes a unique thematic approach to introduce concepts of cognitive neurosciences, guiding students along a clear path to understand the latest findings whether or not they have a background in neurosci...(展开全部)

"The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks...(展开全部)

This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience. With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introdution is the best high-level overview of this area for an interdisciplinary readership of students. W...(展开全部)

This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a di...(展开全部)

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing. Advances in both...(展开全部)

This groundbreaking undergraduate textbook on modern Standard English grammar is the first to be based on the revolutionary advances of the authors' previous work, The Cambridge Grammar of the English Language (2002). The text is intended for students in colleges or universities who have little or no previous background in grammar, and presupposes no linguistics. It contains ex...(展开全部)

This introductory book emphasizes algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The presentation alternates between theory and applications in order to motivate and illustrate the mathematics. The mathematical coverage includes the basics of number theory, abstract algebra and discrete probability theory. Th...(展开全部)

David A. Cox is currently Professor of Mathematics at Amherst College. John Little is currently Professor of Mathematics at College of the Holy Cross. Donal O'Shea is currently President and Professor of Mathematics at New College of Florida.