Discover information, advice, and prices for Springer Mathematical Foundations of Neuroscience sold for 26.7 $ , available in the Books & Magazines category; this product is sold by Textbooks.com and made by Springer.
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Find tips, reviews, and features on Mathematical Foundations of Neuroscience sold for 104.54 $ , available in the Books & Magazines category; this product belongs to and is sold by Abebooks.com.
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
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Discover information, advice, and prices for Mathematical Foundations of Neuroscience, priced at 82.76 $ : it belongs to the Books & Magazines category; this product is sold by Abebooks.com and made by .
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
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Book is in UsedGood condition Pages and cover are clean and intact Used items may not include supplementary materials such as CDs or access codes May show signs of minor shelf wear and contain limited notes and highlighting 122
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Theoretical neuroscience provides a quantitative basis for describing what nervous systems do determining how they function and uncovering the general principles by which they operate This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision sensorymotor integration development learning and memory The book is divided into three parts Part I discusses the relationship between sensory stimuli and neural responses focusing on the representation of information by the spiking activity of neurons Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics Part III analyzes the role of plasticity in development and learning An appendix covers the mathematical methods used and exercises are available on the books Web site
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Theoretical neuroscience provides a quantitative basis for describing what nervous systems do determining how they function and uncovering the general principles by which they operate This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision sensorymotor integration development learning and memory The book is divided into three parts Part I discusses the relationship between sensory stimuli and neural responses focusing on the representation of information by the spiking activity of neurons Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics Part III analyzes the role of plasticity in development and learning An appendix covers the mathematical methods used and exercises are available on the books Web site
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Theoretical neuroscience provides a quantitative basis for describing what nervous systems do determining how they function and uncovering the general principles by which they operate This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision sensorymotor integration development learning and memory The book is divided into three parts Part I discusses the relationship between sensory stimuli and neural responses focusing on the representation of information by the spiking activity of neurons Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics Part III analyzes the role of plasticity in development and learning An appendix covers the mathematical methods used and exercises are available on the books Web site
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