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Author :
Publisher :
ISBN 13 :
Total Pages : 190 pages
Book Rating : 4.:/5 (43 download)
Download or read book Journal of Theoretical Neurobiology written by and published by . This book was released on 1986 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Giovanni Naldi
Publisher : Springer
ISBN 13 : 3319682970
Total Pages : 255 pages
Book Rating : 4.3/5 (196 download)
Download or read book Mathematical and Theoretical Neuroscience written by Giovanni Naldi and published by Springer. This book was released on 2018-03-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.
Author : Jeffrey S Applegate
Publisher : W. W. Norton & Company
ISBN 13 : 9780393704204
Total Pages : 284 pages
Book Rating : 4.7/5 (42 download)
Download or read book Neurobiology for Clinical Social Work written by Jeffrey S Applegate and published by W. W. Norton & Company. This book was released on 2005-07-05 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The research summarized here offers new insights about the crucial role that relationships play in human development and in professional helping efforts. To set the stage for this inquiry, the authors introduce fundamentals of brain structure, development, and function. This introduction is intended as a primer and proceeds from the assumption that many readers are relatively unfamiliar with the field of brain science."--BOOK JACKET.
Author : Peter Dayan
Publisher : MIT Press
ISBN 13 : 0262541858
Total Pages : 477 pages
Book Rating : 4.2/5 (625 download)
Download or read book Theoretical Neuroscience written by Peter Dayan and published by MIT Press. This book was released on 2005-08-12 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, sensory-motor 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 book's Web site.
Author : Henry Clavering Tuckwell
Publisher : Cambridge University Press
ISBN 13 : 0521350964
Total Pages : 307 pages
Book Rating : 4.5/5 (213 download)
Download or read book Introduction to Theoretical Neurobiology: Linear cable theory and dendritic structure written by Henry Clavering Tuckwell and published by Cambridge University Press. This book was released on 1988 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explaining the basic properties of a neuron, this volume develops mathematical theories for the way neurons respond to the various stimuli they receive. It contains descriptions and analyses of the principal mathematical models, providing a brief review of the basic neuroanatomical and neurophysiological facts with the mathematical theories.
Author : Gregory Hickok
Publisher : Academic Press
ISBN 13 : 0124078621
Total Pages : 1188 pages
Book Rating : 4.1/5 (24 download)
Download or read book Neurobiology of Language written by Gregory Hickok and published by Academic Press. This book was released on 2015-08-15 with total page 1188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurobiology of Language explores the study of language, a field that has seen tremendous progress in the last two decades. Key to this progress is the accelerating trend toward integration of neurobiological approaches with the more established understanding of language within cognitive psychology, computer science, and linguistics. This volume serves as the definitive reference on the neurobiology of language, bringing these various advances together into a single volume of 100 concise entries. The organization includes sections on the field's major subfields, with each section covering both empirical data and theoretical perspectives. "Foundational" neurobiological coverage is also provided, including neuroanatomy, neurophysiology, genetics, linguistic, and psycholinguistic data, and models. - Foundational reference for the current state of the field of the neurobiology of language - Enables brain and language researchers and students to remain up-to-date in this fast-moving field that crosses many disciplinary and subdisciplinary boundaries - Provides an accessible entry point for other scientists interested in the area, but not actively working in it – e.g., speech therapists, neurologists, and cognitive psychologists - Chapters authored by world leaders in the field – the broadest, most expert coverage available
Author : Reza Shadmehr
Publisher : MIT Press
ISBN 13 : 9780262195089
Total Pages : 608 pages
Book Rating : 4.1/5 (95 download)
Download or read book The Computational Neurobiology of Reaching and Pointing written by Reza Shadmehr and published by MIT Press. This book was released on 2004-10-28 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the computational biology of reaching and pointing, with an emphasis on motor learning. Neuroscience involves the study of the nervous system, and its topics range from genetics to inferential reasoning. At its heart, however, lies a search for understanding how the environment affects the nervous system and how the nervous system, in turn, empowers us to interact with and alter our environment. This empowerment requires motor learning. The Computational Neurobiology of Reaching and Pointing addresses the neural mechanisms of one important form of motor learning. The authors integrate material from the computational, behavioral, and neural sciences of motor control that is not available in any other single source. The result is a unified, comprehensive model of reaching and pointing. The book is intended to be used as a text by graduate students in both neuroscience and bioengineering and as a reference source by experts in neuroscience, robotics, and other disciplines. The book begins with an overview of the evolution, anatomy, and physiology of the motor system, including the mechanisms for generating force and maintaining limb stability. The sections that follow, "Computing Locations and Displacements", "Skills, Adaptations, and Trajectories", and "Predictions, Decisions, and Flexibility", present a theory of sensorially guided reaching and pointing that evolves organically based on computational principles rather than a traditional structure-by-structure approach. The book also includes five appendixes that provide brief refreshers on fundamentals of biology, mathematics, physics, and neurophysiology, as well as a glossary of relevant terms. The authors have also made supplemental materials available on the Internet. These web documents provide source code for simulations, step-by-step derivations of certain mathematical formulations, and expanded explanations of some concepts.
Author : Henry C. Tuckwell
Publisher : Cambridge University Press
ISBN 13 : 9780521352178
Total Pages : 292 pages
Book Rating : 4.3/5 (521 download)
Download or read book Introduction to Theoretical Neurobiology: Volume 2, Nonlinear and Stochastic Theories written by Henry C. Tuckwell and published by Cambridge University Press. This book was released on 1988-04-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and nonspaceclamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.
Author : Hanspeter A Mallot
Publisher : Springer Science & Business Media
ISBN 13 : 3319008617
Total Pages : 142 pages
Book Rating : 4.3/5 (19 download)
Download or read book Computational Neuroscience written by Hanspeter A Mallot and published by Springer Science & Business Media. This book was released on 2013-05-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
Author : Paul Miller
Publisher : MIT Press
ISBN 13 : 0262347563
Total Pages : 405 pages
Book Rating : 4.2/5 (623 download)
Download or read book An Introductory Course in Computational Neuroscience written by Paul Miller and published by MIT Press. This book was released on 2018-10-09 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a “flipped” or “inverted” teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.
Author : Henry Clavering Tuckwell
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (142 download)
Download or read book Introduction to theoretical neurobiology written by Henry Clavering Tuckwell and published by . This book was released on 1988 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fernando Corinto
Publisher : Springer
ISBN 13 : 3319710486
Total Pages : 150 pages
Book Rating : 4.3/5 (197 download)
Download or read book Nonlinear Dynamics in Computational Neuroscience written by Fernando Corinto and published by Springer. This book was released on 2018-06-19 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.
Author : Michael J. Zigmond
Publisher : Elsevier
ISBN 13 : 0123982804
Total Pages : 823 pages
Book Rating : 4.1/5 (239 download)
Download or read book Neurobiology of Brain Disorders written by Michael J. Zigmond and published by Elsevier. This book was released on 2014-12-03 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurobiology of Brain Disorders is the first book directed primarily at basic scientists to offer a comprehensive overview of neurological and neuropsychiatric disease. This book links basic, translational, and clinical research, covering the genetic, developmental, molecular, and cellular mechanisms underlying all major categories of brain disorders. It offers students, postdoctoral fellows, and researchers in the diverse fields of neuroscience, neurobiology, neurology, and psychiatry the tools they need to obtain a basic background in the major neurological and psychiatric diseases, and to discern connections between basic research and these relevant clinical conditions. This book addresses developmental, autoimmune, central, and peripheral neurodegeneration; infectious diseases; and diseases of higher function. The final chapters deal with broader issues, including some of the ethical concerns raised by neuroscience and a discussion of health disparities. Included in each chapter is coverage of the clinical condition, diagnosis, treatment, underlying mechanisms, relevant basic and translational research, and key unanswered questions. Written and edited by a diverse team of international experts, Neurobiology of Brain Disorders is essential reading for anyone wishing to explore the basic science underlying neurological and neuropsychiatric diseases. - Links basic, translational, and clinical research on disorders of the nervous system, creating a format for study that will accelerate disease prevention and treatment - Covers a vast array of neurological disorders, including ADHD, Down syndrome, autism, muscular dystrophy, diabetes, TBI, Parkinson, Huntington, Alzheimer, OCD, PTSD, schizophrenia, depression, and pain - Illustrated in full color - Each chapter provides in-text summary points, special feature boxes, and research questions - Provides an up-to-date synthesis of primary source material
Author : Daniel Durstewitz
Publisher : Springer
ISBN 13 : 3319599763
Total Pages : 308 pages
Book Rating : 4.3/5 (195 download)
Download or read book Advanced Data Analysis in Neuroscience written by Daniel Durstewitz and published by Springer. This book was released on 2017-09-15 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego “This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. “ Bruno B. Averbeck
Author : Jürgen Jost
Publisher : Springer Science & Business Media
ISBN 13 : 1447163532
Total Pages : 233 pages
Book Rating : 4.4/5 (471 download)
Download or read book Mathematical Methods in Biology and Neurobiology written by Jürgen Jost and published by Springer Science & Business Media. This book was released on 2014-02-13 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models can be used to meet many of the challenges and opportunities offered by modern biology. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology. Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner. It studies: • discrete structures and graph theory • stochastic processes • dynamical systems and partial differential equations • optimization and the calculus of variations. The biological applications range from molecular to evolutionary and ecological levels, for example: • cellular reaction kinetics and gene regulation • biological pattern formation and chemotaxis • the biophysics and dynamics of neurons • the coding of information in neuronal systems • phylogenetic tree reconstruction • branching processes and population genetics • optimal resource allocation • sexual recombination • the interaction of species. Written by one of the most experienced and successful authors of advanced mathematical textbooks, this book stands apart for the wide range of mathematical tools that are featured. It will be useful for graduate students and researchers in mathematics and physics that want a comprehensive overview and a working knowledge of the mathematical tools that can be applied in biology. It will also be useful for biologists with some mathematical background that want to learn more about the mathematical methods available to deal with biological structures and data.
Author : Chris Eliasmith
Publisher : MIT Press
ISBN 13 : 9780262550604
Total Pages : 384 pages
Book Rating : 4.5/5 (56 download)
Download or read book Neural Engineering written by Chris Eliasmith and published by MIT Press. This book was released on 2003 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
Author : Henry C. Tuckwell
Publisher : Cambridge University Press
ISBN 13 : 9780521352178
Total Pages : 292 pages
Book Rating : 4.3/5 (521 download)
Download or read book Introduction to Theoretical Neurobiology: Volume 2, Nonlinear and Stochastic Theories written by Henry C. Tuckwell and published by Cambridge University Press. This book was released on 1988-04-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and nonspaceclamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.
