Foundations of Cellular Neurophysiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Cellular Neurophysiology write by Daniel Johnston. This book was released on 1994-11-02. Foundations of Cellular Neurophysiology available in PDF, EPUB and Kindle. with simulations and illustrations by Richard Gray Problem solving is an indispensable part of learning a quantitative science such as neurophysiology. This text for graduate and advanced undergraduate students in neuroscience, physiology, biophysics, and computational neuroscience provides comprehensive, mathematically sophisticated descriptions of modern principles of cellular neurophysiology. It is the only neurophysiology text that gives detailed derivations of equations, worked examples, and homework problem sets (with complete answers). Developed from notes for the course that the authors have taught since 1983, Foundations of Cellular Neurophysiology covers cellular neurophysiology (also some material at the molecular and systems levels) from its physical and mathematical foundations in a way that is far more rigorous than other commonly used texts in this area.
Foundations of Cellular Neurophysiology
Foundations of Cellular Neurophysiology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Cellular Neurophysiology write by Daniel Johnston. This book was released on 1995. Foundations of Cellular Neurophysiology available in PDF, EPUB and Kindle. with simulations and illustrations by Richard Gray Problem solving is anindispensable part of learning a quantitative science such as neurophysiology. This text forgraduate and advanced undergraduate students in neuroscience, physiology, biophysics, andcomputational neuroscience provides comprehensive, mathematically sophisticated descriptions ofmodern principles of cellular neurophysiology. It is the only neurophysiology text that givesdetailed derivations of equations, worked examples, and homework problem sets (with completeanswers).Developed from notes for the course that the authors have taught since 1983, Foundations ofCellular Neurophysiology covers cellular neurophysiology (also some material at the molecular andsystems levels) from its physical and mathematical foundations in a way that is far more rigorousthan other commonly used texts in this area.
Quantitative Fundamentals of Molecular and Cellular Bioengineering
Quantitative Fundamentals of Molecular and Cellular Bioengineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Fundamentals of Molecular and Cellular Bioengineering write by K. Dane Wittrup. This book was released on 2020-01-07. Quantitative Fundamentals of Molecular and Cellular Bioengineering available in PDF, EPUB and Kindle. A comprehensive presentation of essential topics for biological engineers, focusing on the development and application of dynamic models of biomolecular and cellular phenomena. This book describes the fundamental molecular and cellular events responsible for biological function, develops models to study biomolecular and cellular phenomena, and shows, with examples, how models are applied in the design and interpretation of experiments on biological systems. Integrating molecular cell biology with quantitative engineering analysis and design, it is the first textbook to offer a comprehensive presentation of these essential topics for chemical and biological engineering. The book systematically develops the concepts necessary to understand and study complex biological phenomena, moving from the simplest elements at the smallest scale and progressively adding complexity at the cellular organizational level, focusing on experimental testing of mechanistic hypotheses. After introducing the motivations for formulation of mathematical rate process models in biology, the text goes on to cover such topics as noncovalent binding interactions; quantitative descriptions of the transient, steady state, and equilibrium interactions of proteins and their ligands; enzyme kinetics; gene expression and protein trafficking; network dynamics; quantitative descriptions of growth dynamics; coupled transport and reaction; and discrete stochastic processes. The textbook is intended for advanced undergraduate and graduate courses in chemical engineering and bioengineering, and has been developed by the authors for classes they teach at MIT and the University of Minnesota.
Mathematical Foundations of Neuroscience
Mathematical Foundations of Neuroscience - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Foundations of Neuroscience write by G. Bard Ermentrout. This book was released on 2010-07-01. Mathematical Foundations of Neuroscience available in PDF, EPUB and Kindle. This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.
Fundamentals of Brain Network Analysis
Fundamentals of Brain Network Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fundamentals of Brain Network Analysis write by Alex Fornito. This book was released on 2016-03-04. Fundamentals of Brain Network Analysis available in PDF, EPUB and Kindle. Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
