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Modeling Brain Function
One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the st...
Field Theory, The Renormalization Group, And Critical Phenomena: Graphs To Computers (3rd Edition)
This volume links field theory methods and concepts from particle physics with those in critical phenomena and statistical mechanics, the development starting from the latter point of view. Rigor and lengthy proofs are trimmed by using the phenomenological framework of graphs, power counting, etc., and field theoretic methods with emphasis on renormalization group techniques. Non-perturbative methods and numerical simulations are introduced in this new edition. Abundant references to research literature complement this matter-of-fact approach. The book introduces quantum field theory to those already grounded in the concepts of statistical mechanics and advanced quantum theory, with sufficient exercises in each chapter for use as a textbook in a one-semester graduate course.The following new chapters are included:I. Real Space MethodsII. Finite Size ScalingIII. Monte Carlo Methods. Numerical Field Theory
Statistical Physics
This invaluable textbook is an introduction to statistical physics that has been written primarily for self-study. It provides a comprehensive approach to the main ideas of statistical physics at the level of an introductory course, starting from the kinetic theory of gases and proceeding all the way to Bose-Einstein and Fermi-Dirac statistics. Each idea is brought out with ample motivation and clear, step-by-step, deductive exposition. The key points and methods are presented and discussed on the basis of concrete representative systems, such as the paramagnet, Einstein's solid, the diatomic gas, black body radiation, electric conductivity in metals and superfluidity. The book is written in a stimulating style and is accompanied by a large number of exercises appropriately placed within the text and by self-assessment problems at the end of each chapter. Detailed solutions of all the exercises are provided.
Field Theory, The Renormalization Group And Critical Phenomena (2nd Edition)
This volume links field theory methods and concepts from particle physics with those in critical phenomena and statistical mechanics, the development starting from the latter point of view. Rigor and lengthy proofs are trimmed by using the phenomenological framework of graphs, power counting, etc., and field theoretic methods with emphasis on renormalization group techniques. The book introduces quantum field theory to those already grounded in the concepts of statistical mechanics and advanced quantum theory, with sufficient exercises in each chapter for use as a textbook in a one-semester graduate course.
The First Hour
A Cellist's Daily Technical Regimen
Selected Papers of Daniel Amit (1938-2007)
This book provides a selection of papers of the late Daniel Amit (1938–2007). Daniel Amit was a physicist who spent the last 22 years of his life working on neural network models. He was one of the pioneers in the field. The volume contains 21 papers, from the highly influential 1985 paper on the Hopfield model (published together with Hanoch Gutfreund and Haim Sompolinsky), to his last (unpublished) manuscript. Many of these papers are landmark papers in the field. The book also provides a biography; an introduction on Daniel Amit's scientific career before the Hopfield model; and introductions to each of the included papers, written by their co-authors. This book will be of interest to physicists, computational neuroscientists and neurobiologists.
Distress Tolerance
This state-of-the-art volume synthesizes the growing body of knowledge on the role of distress tolerance—the ability to withstand aversive internal states such as negative emotions and uncomfortable bodily sensations—in psychopathology. Prominent contributors describe how the construct has been conceptualized and measured and examine its links to a range of specific psychological disorders. Exemplary treatment approaches that target distress tolerance are reviewed. Featuring compelling clinical illustrations, the book highlights implications of the research for better understanding how psychological problems develop and how to assess and treat them effectively.
Advances in Neural Information Processing Systems 19
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.
The Medicinal Chemist's Guide to Solving ADMET Challenges
Presented in a visual and accessible style this volume intends to provide rapid solutions to overcome the universal challenges to optimizing ADMET.
Maximum city
Winner Of The 2005 Kiriyama Prize For Non-Fiction Suketu Mehta Left Bombay At The Age Of 14. Twenty-One Years Later He Returned To Rediscover The City. The Result Is This Stunning, Brilliantly Illuminating Portrait Of The Megalopolis And Its People-A Book, Seven Years In The Making, That Is As Vast, As Diverse, As Rich In Experience, Incident And Sensation As The City Itself. Extraordinary . . . The Best Book Yet Written About That Great, Ruined Metropolis -Salman Rushdie Like One Of Bombay S Teeming Chawls, Maximum City Is Part Nightmare And Part Millennial Hallucination, Filled With Detail, Drama And A Richly Varied Cast Of Characters. In His Quest To Plumb Both The Grimy Depths And Radian...
