In From Computer to Brain: Foundations of Computational Neuroscience,
William Lytton provides a gentle but rigorous introduction to the art
of modeling neurons and neural systems. It is an accessible entry to the
methods and approaches used to model the brain at many di erent levels,
ranging from synapses and dendrites to neurons and...
A major thrust of computer science is the design, analysis, implementation, and scicntific
evaluation of algorithms to solve critical problems. In addition, new challenges are being
offered to computer scientists in the field of computational science and engineering, which
includes challenging problems in computational biology,...
This work deals with a well-defined class of probabilistic models. The focus
is on polymers. More precisely I should say that the focus is on the
equilibrium statistical mechanics of a class of polymers: dynamical and
non-equilibrium phenomena are not treated, reflecting the fact that these
directions are at the moment...
Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior...
The Central Nervous System: Structure and Function, Fourth Edition continues the tradition of one of the most respected textbooks in clinical neuroscience by providing medical students the knowledge and understanding of neuroscience as a basis for clinical thinking. While remaining concise and easy to read, the text encourages...
This book is about constraint programming, an alternative approach to programming which relies on a combination of techniques that deal with reasoning and computing. It has been successfully applied in a number of fields including molecular biology, electrical engineering, operations research and numerical analysis. The central notion is that...
Soils long have been taken for granted being so commonplace and lacking often striking features. However, soil is one of the most complex media on Earth, vital for the biogeosphere and human civilization. With increased usage of soil for world food production, building materials, waste repositories, etc awareness has grown for the need of...
New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...
Microelectromenchanical systems (MEMS) is a revolutionary field that adapts for new uses a technology already optimized to accomplish a specific set of objectives. The silicon-based integrated circuits process is so highly refined it can produce millions of electrical elements on a single chip and define their critical dimensions to...
Welcome to Science of Everyday Things. Our aim is to explain how scientific phenomena can be understood by observing common, real-world events. From luminescence to echolocation to buoyancy, the series will illustrate the chief principles that underlay these phenomena and explore their application in everyday life. To encourage...
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this...
This book discusses the principles and practice of breast cancer management within the context of multidisciplinary team working and places emphasis on pragmatism. The text provides a comprehensive and contemporary account of the subject and should permit the reader to develop a firm understanding of the disease from epidemiology, genetics...
