Foundations of Cellular Neurophysiology
Foundations of Cellular Neurophysiology

Author: Daniel Johnston

Publisher: MIT Press

Published: 1994-11-02

Total Pages: 709

ISBN-13: 0262293498

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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.

Quantitative Fundamentals of Molecular and Cellular Bioengineering
Quantitative Fundamentals of Molecular and Cellular Bioengineering

Author: K. Dane Wittrup

Publisher: MIT Press

Published: 2020-01-07

Total Pages: 593

ISBN-13: 0262042657

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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.

Cellular Neurophysiology and Integration
Cellular Neurophysiology and Integration

Author: W. R. Uttal

Publisher: Psychology Press

Published: 2014-01-14

Total Pages: 391

ISBN-13: 1317768701

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First published in 1975. Because of its general importance to a number of related disciplines, students of the modern science of neurophysiology have benefited from time to time from an introductory survey presented at a more elementary level than is usually found in advanced textbooks. The dynamism of the field is such, however, that more up-to-date statements incorporating many of the exciting new findings concerning cellular neurophysiology are required periodically. This text is aimed at filling that need. It is an outgrowth of a part of a course on the neurophysiology of sensory processes taught by the author at The University of Michigan during the last ten years. This book is an attempt to present the subject matter at a level appropriate for advanced undergraduate students and first year graduate students whose knowledge of chemistry, physics, and mathematics is limited to introductory courses.

Mathematical Foundations of Neuroscience
Mathematical Foundations of Neuroscience

Author: G. Bard Ermentrout

Publisher: Springer Science & Business Media

Published: 2010-07-01

Total Pages: 434

ISBN-13: 0387877088

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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.

Cellular and Molecular Neurophysiology
Cellular and Molecular Neurophysiology

Author: Constance Hammond

Publisher: Academic Press

Published: 2014-12-30

Total Pages: 444

ISBN-13: 0123973228

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Cellular and Molecular Neurophysiology, Fourth Edition, is the only up-to-date textbook on the market that focuses on the molecular and cellular physiology of neurons and synapses. Hypothesis-driven rather than a dry presentation of the facts, the book promotes a real understanding of the function of nerve cells that is useful for practicing neurophysiologists and students in a graduate-level course on the topic alike. This new edition explains the molecular properties and functions of excitable cells in detail and teaches students how to construct and conduct intelligent research experiments. The content is firmly based on numerous experiments performed by top experts in the field This book will be a useful resource for neurophysiologists, neurobiologists, neurologists, and students taking graduate-level courses on neurophysiology. - 70% new or updated material in full color throughout, with more than 350 carefully selected and constructed illustrations - Fifteen appendices describing neurobiological techniques are interspersed in the text

From Molecules to Networks
From Molecules to Networks

Author: Ruth Heidelberger

Publisher: Academic Press

Published: 2009-01-27

Total Pages: 654

ISBN-13: 0080920837

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An understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. From Molecules to Networks provides the solid foundation of the morphologic, biochemical, and biophysical properties of nerve cells. All chapters have been thoroughly revised for this second edition to reflect the significant advances of the past 5 years. The new edition expands on the network aspects of cellular neurobiology by adding a new chapter, Information Processing in Neural Networks, and on the relation of cell biological processes to various neurological diseases. The new concluding chapter illustrates how the great strides in understanding the biochemical and biophysical properties of nerve cells have led to fundamental insights into important aspects of neurodegenerative disease. - Written and edited by leading experts in the field, the second edition completely and comprehensively updates all chapters of this unique textbook - Discusses emerging new understanding of non-classical molecules that affect neuronal signaling - Full colour, professional graphics throughout - Includes two new chapters: Information Processing in Neural Networks - describes the principles of operation of neural networks and the key circuit motifs that are common to many networks in the nervous system. Molecular and Cellular Mechanisms of Neurodegenerative Disease - introduces the progress made in the last 20 years in elucidating the cellular and molecular mechanisms underlying brain disorders, including Amyotrophic Lateral Sclerosis (ALS), Parkinson disease, and Alzheimer's disease

Integrins and Ion Channels
Integrins and Ion Channels

Author: Andrea Becchetti

Publisher: Springer Science & Business Media

Published: 2010-12-28

Total Pages: 138

ISBN-13: 144196066X

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Interdisciplinarity is more often invoked than practised. This is hardly surprising, considering the daunting vastness of modern biology. To reach a satisfactory understanding of a complex biological system, a wide spectrum of conceptual and experimental tools must be applied at different levels, from the molecular to the cellular, tissue and organismic. We believe the multifaceted regulatory interplay between integrin receptors and ion channels offers a rich and challenging field for researchers seeking broad biological perspectives. By mediating cell adhesion to the extracellular matrix, integrins regulate many developmental processes in the widest sense (from cell choice between differentiation and proliferation, to tissue remodeling and organogenesis). Rapidly growing evidence shows that frequent communication takes place between cell adhesion receptors and channel proteins. This may occur through formation of multiprotein membrane complexes that regulate ion fluxes as well as a variety of intracellular signaling pathways. In other cases, cross talk is more indirect and mediated by cellular messengers such as G proteins. These interactions are reciprocal, in that ion channel stimulation often controls integrin activation or expression. From a functional standpoint, studying the interplay between integrin receptors and ion channels clarifies how the extracellular matrix regulates processes as disparate as muscle excitability, synaptic plasticity and lymphocyte activation, just to mention a few. The derangement of these processes has many implications for pathogenesis processes, in particular for tumor invasiveness and some cardiovascular and neurologic diseases. This book provides a general introduction to the problems and methods of this blossoming field.

Sudden Death in Epilepsy
Sudden Death in Epilepsy

Author: Claire M. Lathers

Publisher: CRC Press

Published: 2010-11-08

Total Pages: 1020

ISBN-13: 1439802238

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Though it is one of the most common causes of death in epilepsy patients, SUDEP is still infrequently and even reluctantly named on autopsy reports. This under-reporting equates to a lack of attention and earnest investigation into the cause, predisposition, and prevention of SUDEP. There is as yet little effort to establish an actionable strategy

Fundamentals of Brain Network Analysis
Fundamentals of Brain Network Analysis

Author: Alex Fornito

Publisher: Academic Press

Published: 2016-03-04

Total Pages: 496

ISBN-13: 0124081185

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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

Computational Cell Biology
Computational Cell Biology

Author: Christopher P. Fall

Publisher: Springer Science & Business Media

Published: 2007-06-04

Total Pages: 484

ISBN-13: 0387224599

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This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.