Foundations Of Cellular Neurophysiology
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Foundations Of Cellular Neurophysiology
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Author : Daniel Johnston
language : en
Publisher: Bradford Books
Release Date : 1995
Foundations Of Cellular Neurophysiology written by Daniel Johnston and has been published by Bradford Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Medical categories.
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.
Foundations Of Cellular Neurophysiology
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Author : Johnston
language : en
Publisher:
Release Date : 1994
Foundations Of Cellular Neurophysiology written by Johnston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Foundations Of Cellular Neurophysiology
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Author : Daniel Johnston
language : en
Publisher: MIT Press
Release Date : 1994-11-02
Foundations Of Cellular Neurophysiology written by Daniel Johnston and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-11-02 with Medical categories.
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
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Author : K. Dane Wittrup
language : en
Publisher: MIT Press
Release Date : 2020-01-07
Quantitative Fundamentals Of Molecular And Cellular Bioengineering written by K. Dane Wittrup and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Science categories.
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.
Intelligence Science
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Author : Zhongzhi Shi
language : en
Publisher: Elsevier
Release Date : 2021-04-16
Intelligence Science written by Zhongzhi Shi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-16 with Computers categories.
Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry. - Presents a complex, interdisciplinary area in an accessible way, including the latest trends and developments - Brings together disciplines such as neuroscience, cognitive science and artificial intelligence - Gives the latest methods and theories in the development of new intelligent technologies - Reflects upon the most important achievements in the study of natural and artificial intelligence - Contextualizes intelligence research within the history and progress of twenty-first century science
Mathematical Foundations Of Neuroscience
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Author : G. Bard Ermentrout
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-01
Mathematical Foundations Of Neuroscience written by G. Bard Ermentrout and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-01 with Mathematics categories.
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.
Foundation Of Cellular Neurophysiology
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Author :
language : fr
Publisher:
Release Date :
Foundation Of Cellular Neurophysiology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Principles Of Neurobiology
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Author : Liqun Luo
language : en
Publisher: Garland Science
Release Date : 2020-09-05
Principles Of Neurobiology written by Liqun Luo and has been published by Garland Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-05 with Science categories.
Principles of Neurobiology, Second Edition presents the major concepts of neuroscience with an emphasis on how we know what we know. The text is organized around a series of key experiments to illustrate how scientific progress is made and helps upper-level undergraduate and graduate students discover the relevant primary literature. Written by a single author in a clear and consistent writing style, each topic builds in complexity from electrophysiology to molecular genetics to systems level in a highly integrative approach. Students can fully engage with the content via thematically linked chapters and will be able to read the book in its entirety in a semester-long course. Principles of Neurobiology is accompanied by a rich package of online student and instructor resources including animations, figures in PowerPoint, and a Question Bank for adopting instructors.
Biohybrid Systems
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Author : Ranu Jung
language : en
Publisher: John Wiley & Sons
Release Date : 2012-09-19
Biohybrid Systems written by Ranu Jung and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-19 with Science categories.
The discipline of neurodesign is a highly interdisciplinary one, while at the same time in the process of maturing towards real-life applications. The breakthrough about to be achieved is to close the loop in communication between neural systems and electronic and mechatronic systems and actually let the nervous system adapt to the feedback from the man-made systems. To master this loop, scientists need a sound understanding of neurology, from the cellular to the systems scale, of man-made systems and how to connect the two. These scientists comprise medical scientists, neurologists and physiologists, engineers, as well as biophysicists. And they need the topics in a coherently written work with chapters building upon another.
Calculus For Cognitive Scientists
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Author : James Peterson
language : en
Publisher: Springer
Release Date : 2016-02-11
Calculus For Cognitive Scientists written by James Peterson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-11 with Technology & Engineering categories.
This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.