From Molecules to Networks: An Introduction to Cellular and Molecular Neuroscience
Average customer rating: 5 out of 5 stars
  • A most welcome addition to neuroscience reference shelves
From Molecules to Networks: An Introduction to Cellular and Molecular Neuroscience

Manufacturer: Academic Press
ProductGroup: Book
Binding: Hardcover

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  5. Development of the Nervous System, Second Edition Development of the Nervous System, Second Edition

ASIN: 0121486605

Book Description

As the basic building block of the nervous system, a thorough understanding of the neuron is crucial for any level of analysis. This text provides the solid foundation of the morphological, biochemical, and biophysical properties of nerve cells that is needed by advanced undergraduates and graduate students, as well as researchers in need of a thorough reference.

* Highly referenced for readers to pursue topics of interest in greater detail
* Unique coverage of the application of mathematical modeling and simulation approaches not found in other textbooks
* Richly illustrated, four color presentation throughout
* Includes CD-ROM of all of the illustrations

Customer Reviews:

5 out of 5 stars A most welcome addition to neuroscience reference shelves.......2004-05-03

Collaboratively compiled and edited by biologists and academicians John H. Byrne and James L. Roberts, From Molecules To Networks: An Introduction To Cellular And Molecular Neuroscience is a superbly organized and presented college-level instructional text presupposing a heavy mathematic and scientific background as it meticulously instructs the reader concerning cellular components of nervous tissue, brain energy metabolism, molecular properties of ion channels, and more. Each instructional chapter is written and presented by a different specialist or specialists in the specific field. Some diagrams intersperse the largely nuts-and-bolts information of this straightforward and through textbook, recommended especially for cellular and molecular neuroscience students and professionals whose careers directly correspond to this vibrant field. From Molecules To Networks is a most welcome addition to neuroscience reference shelves, which comes nicely enhanced with an accompanying CD-ROM that includes all the various illustrations and diagrams.
Neurons and Networks: An Introduction to Neuroscience
Average customer rating: 5 out of 5 stars
  • Good intro to the depth and details of neurosci
Neurons and Networks: An Introduction to Neuroscience
John E. Dowling
Manufacturer: Belknap Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0674608208

Book Description

THIS EDITION HAS BEEN REPLACED BY A NEWER EDITION

Customer Reviews:

5 out of 5 stars Good intro to the depth and details of neurosci.......2000-04-03

I've hung on to this book after taking the course (a neurosci course for advanced undergrads and a few grad students). It's attractive because it goes into depth without becoming murky for a beginner. Once you've mastered introductory neurosci topics and want to roll up your sleeves for the details, this is a great book to pick up.

Part One is Cellular Neuroscience, with chapters on cells, synapses, methods of probing the brain, action potentials and their propagation, membrane channels and receptor proteins, etc.

Part Two is Integrative Neuroscience, covering invertbrate nervous systems, rhythmic motor behavior, retinal processing of info, higher levels of visual processing, invertebrate models of memory and learning, etc.

Excellent schematic drawings. Clear explanatory writing.
An Introduction to Molecular Neurobiology
Average customer rating: 5 out of 5 stars
  • This is an excellent book
An Introduction to Molecular Neurobiology
Zach W. Hall
Manufacturer: Sinauer Associates
ProductGroup: Book
Binding: Hardcover

GeneralGeneral | Biology | Biological Sciences | Science | Subjects | Books
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ASIN: 0878933077

Customer Reviews:

5 out of 5 stars This is an excellent book.......2000-06-26

This book is simply complete, adequate, and extremely well written concerning the subject of neurobiology. An updated version is eagerly awaited.
Nerve Cells and Nervous Systems: An Introduction to Neuroscience
Average customer rating: Not rated
    Nerve Cells and Nervous Systems: An Introduction to Neuroscience
    A.G. Brown
    Manufacturer: Springer
    ProductGroup: Book
    Binding: Paperback

    PhysicalPhysical | Anthropology | Social Sciences | Nonfiction | Subjects | Books
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    ASIN: 3540760903

    Book Description

    The second edition of Nerve Cells and Nervous Systems is an introduction to the general principles of the organization and function of the nervous system for anyone starting the study of neuroscience at either the undergraduate or graduate level. The main aim of this book is to present the general principles of neuroscience in the context of experimental evidence. The systems approach is avoided. Instead the text takes the reader from a description of the single neuron level, via the interactions between two neurons and small groups of neurons, to a consideration of the particular functional attributes of nervous systems. Neuroscience is an experimental science, and the importance of the interpretation of experimental observations is stressed throughout. Readers will find that references to papers both recent and classical are not only an excellent introduction to the literature but an encouragement to investigate it further. The book is suitable for students of neuroscience, physiology, zoology, psychology and anatomy, as well as for those studying medicine and veterinary medicine. The book is suitable for anyone studying the nervous system at both undergraduate and immediate postgraduate levels. In particular, undergraduates reading Neuroscience or any course containing a neuroscience component, such as Physiology, Pharmacology, Biomedical Sciences, Psychology, as well as Medicine and Veterinary Medicine should find the book helpful. Alan G Brown, Emeritus Professor of Veterinary Physiology, University of Edinburgh, Edinburgh, UK.
    Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    Average customer rating: 5 out of 5 stars
    • The most mathematically cogent introduction to electrophysiology
    Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    Henry C. Tuckwell
    Manufacturer: Cambridge University Press
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    1. Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology) Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    2. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

    ASIN: 0521022223

    Book Description

    The human brain contains billions of nerve cells whose activity plays a critical role in the way we behave, feel, perceive, and think. This two-volume set explains the basic properties of a neuron--an electrically active nerve cell--and develops mathematical theories for the way neurons respond to the various stimuli they receive. Volume 1 contains descriptions and analyses of the principle mathematical models that have been developed for neurons in the past thirty years. It provides a brief review of the basic neuroanatomical and neurophysiological facts that will form the focus of the mathematical treatment. Tuckwell discusses the mathematical theories, beginning with the theory of membrane potentials. He then goes on to treat the Lapicque model, linear cable theory, and time-dependent solutions of the cable equations. He concludes with a description of Rall's model nerve cell. Because the level of mathematics increases steadily upward from Chapter Two some familiarity with differential equations and linear algebra is desirable.

    Customer Reviews:

    5 out of 5 stars The most mathematically cogent introduction to electrophysiology.......2007-02-28

    Of all the introductory texts on electrophysiology, this one is by far the most mathematically literate. This is a two volume set. Volume 1 covers Nernst Plaank equilibrium equations, integrate and fire neurons, linear cable theory and the Rall model of dendrites. Volume 2 delves into the theory of the action potential - Hodgkin Huxley eqs and the various spinoffs, and some stochastic theory of spontaneous activity. This book was published in 1988, so it predates much of the more recent electrophysiological theory including the zoo of channels and current sources that have been more recently characterized, or the theory of recurrent networks, for example. Also, there are other books - Aidley's Physiology of Excitable Cells, or Kandel and Schwartz - that convey more sense of the underlying biology. But for a mathematically coherent treatment of the bedrock concepts in electrophysiology, nothing else comes close.
    Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    Average customer rating: 5 out of 5 stars
    • The most mathematically cogent introduction to electrophysiology
    Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    Henry C. Tuckwell
    Manufacturer: Cambridge University Press
    ProductGroup: Book
    Binding: Paperback

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    1. Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology) Introduction to Theoretical Neurobiology (Cambridge Studies in Mathematical Biology)
    2. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
    3. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience) Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)

    ASIN: 052101932X

    Book Description

    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.

    Customer Reviews:

    5 out of 5 stars The most mathematically cogent introduction to electrophysiology.......2007-02-28

    Of all the introductory texts on electrophysiology, this one is by far the most mathematically literate. This is a two volume set. Volume 1 covers Nernst Plaank equilibrium equations, integrate and fire neurons, linear cable theory and the Rall model of dendrites. Volume 2 delves into the theory of the action potential - Hodgkin Huxley eqs and the various spinoffs, and some stochastic theory of spontaneous activity. This book was published in 1988, so it predates much of the more recent electrophysiological theory including the zoo of channels and current sources that have been more recently characterized, or the theory of recurrent networks, for example. Also, there are other books - Aidley's Physiology of Excitable Cells, or Kandel and Schwartz - that convey more sense of the underlying biology. But for a mathematically coherent treatment of the bedrock concepts in electrophysiology, nothing else comes close.
    An Introduction to the Mathematics of Neurons (Cambridge Studies in Mathematical Biology)
    Average customer rating: Not rated
      An Introduction to the Mathematics of Neurons (Cambridge Studies in Mathematical Biology)
      Hoppensteadt
      Manufacturer: Cambridge University Press
      ProductGroup: Book
      Binding: Hardcover

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      ASIN: 0521305667

      Book Description

      Neurons, or nerve cells, are basic timers in our bodies; they also play a central role in storing and processing information in our brains. This book introduces neuron physiology and some mathematical methods that can help us to understand how neurons work. The author’s aim is to uncover frequency-response properties of neurons and to show that neural networks can support stable patterns of synchronized firing. He does this using a novel electrical circuit model of a neuron, called VCON, which shares many features with the Hodgkin-Huxley model, though it is much simpler to study. This makes the book suitable for advanced undergraduate or new graduate students studying mathematical biology. Indeed the book grew from such a course taught at the University of Utah. The only prerequisites are basic calculus, differential equations and matrix algebra. Problems (some with solutions) are provided at the end of each chapter; they range from simple illustrative exercises to more challenging extensions of the text. Some projects, often involving microcomputers, are also suggested.
      Introduction to the Mathematics of Neurons.
      Average customer rating: Not rated
        Introduction to the Mathematics of Neurons.
        F.C. Hoppensteadt
        Manufacturer: Publisher Unknown
        ProductGroup: Book
        Binding: Paperback
        ASIN: B000UYF5YM
        An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology)
        Average customer rating: 4 out of 5 stars
        • A Condensed, Economical, and Introductory Book on Studying Neuron Firing
        An Introduction to the Mathematics of Neurons: Modeling in the Frequency Domain (Cambridge Studies in Mathematical Biology)
        Frank C. Hoppensteadt
        Manufacturer: Cambridge University Press
        ProductGroup: Book
        Binding: Hardcover

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        ASIN: 0521590752

        Book Description

        This book describes signal processing aspects of neural networks, how we receive and assess information. Beginning with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, it proceeds to applications. These applications include small networks of neurons, such as those used in control of warm-up and flight in moths and control of respiration during exercise in humans. Next, Hoppensteadt develops a theory of mnemonic surfaces and presents material on pattern formation and cellular automata. Finally, the text addresses the large networks, such as the thalamus-reticular complex circuit, that may be involved in focusing attention, and the development of connections in the visual cortex. This book will serve as an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.

        Customer Reviews:

        4 out of 5 stars A Condensed, Economical, and Introductory Book on Studying Neuron Firing.......2007-08-11

        The goal of Hoppensteadt's book is "to study the frequency and timing of neuron firing and how these can interact in networks to carry information and to control biological systems."

        Hoppensteadt's book is condensed. It has 211 pages, but seven chapters and two appendixes. The readers will need other books for better and deeper understanding on the presented material. A case in point is that I have purchased this book for a long time, but I am not able to read through it until Dr. Diana Verzi and Dr. Imre Tuba, both of San Diego State University, gave me Christof Koch's "Biophysics of Computation." Biophysics of Computation has more than five hundred (500) pages. Later on, under the suggestion of Dr. Verzi, I purchased Eugene M. Izhikevich's "Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting" for better and deeper understanding the material presented on Hoppensteadt's book. Izhikevich's book has more than four hundred (400) pages.

        Hoppensteadt's book is an economical introductory book on how to apply mathematics on physiological research though. Chapter one, two, and four covers the background material for the rest of the book, such as useful electrical circuits, theory of simple clock, and signal processing in phase-locked systems. Chapter three and five covers the mathematical models of neurons and neural networks. Chapter six and seven presents memory and attention. Appendix A provides the mathematical background on low pass filter and harmonic oscillator. Appendix B presents bifurcation analysis.
        Neurons and Networks: An Introduction to Behavioral Neuroscience, Second Edition
        Average customer rating: 5 out of 5 stars
        • A Hidden Gem
        • Great Introductory Book
        Neurons and Networks: An Introduction to Behavioral Neuroscience, Second Edition
        John E. Dowling
        Manufacturer: Belknap Press
        ProductGroup: Book
        Binding: Hardcover

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        ASIN: 0674004620

        Book Description

        Harvard University Press is proud to announce the second edition of a widely admired introductory textbook. When first published, Neurons and Networks filled the need for an introductory neuroscience text that is lucid, accessible, authoritative, logically organized, and concise. Avoiding the encyclopedic coverage that makes most neuroscience texts overwhelming, Neurons and Networks focused instead on building the solid foundation of understanding and knowledge required for further study.

        The new edition retains the features that made the first edition so attractive: consistent emphasis on results and concepts that have stood the test of time; abundant high-quality illustrations; exceptionally clear explanations of technical terms. Completely revised and enlarged with six new chapters, the second edition of Neurons and Networks is an introduction not just to neurobiology, but to all of behavioral neuroscience. It is an ideal text for first- or second-year college students with minimal college science exposure. It is also an invaluable resource for students in biology, psychology, anthropology, and computer science who seek an accessible guide to a discipline that will be a critically important area of research in the twenty-first century.

        Customer Reviews:

        5 out of 5 stars A Hidden Gem.......2006-10-06

        With several glossy and colorful neuroscience textbooks in circulation, this unassuming little volume (which is still printed in black and white) has scarcely received the attention it deserves. Those who have taken a class with John Dowling know that this man is one heck of a good teacher. Trained in the days before Powerpoint and computers, Dowling knows how to make neuroscience come alive with just a piece of chalk and a blackboard. His skill in teaching shines through in Neurons and Networks.

        Although this is the only neuroscience text that I have ever read, it's hard to imagine that anything could be more comprehensible. Dowling carefully walks the reader, step by step, through each point, making seemingly difficult concepts very easy to understand, even to those with no previous biological training.

        Anyone who is considering purchasing this text should know that it rewards careful and thoughtful study. Neuroscience takes time and dedication to learn, and the same holds true with this text: you'll be very disappointed if you try to skim through it. Furthermore, the text is very concise and _every_ word counts! The distinguishing feature of this book, however, is that with sufficiently careful studying, the reader is left with a solid understanding of neurological principles and an intuitive grasp of neurophysiology. With many other biological texts, careful study simply leads to a jumble of poorly-integrated facts that, without further review, will likely be forgotten within a matter of months.

        A second hallmark of this book is that, despite the very molecular focus of the first chapters, Dowling builds links to other disciplines like behavioral neuroscience, medicine, and evolution. The scope of the book is wide. Who else would have thought to put a painting of primates on the cover of a neuroscience text? After reading this book (cover to cover), I was left with a sense of amazement at not only the molecular and cellular complexity of the nervous system, but at all the architectural intricacies of neural networks that, having been refined over millions of years, are essential to what we recognize as the distinctly human capability for advanced cognition.

        5 out of 5 stars Great Introductory Book.......2002-03-06

        A pleasantly written introductory text with elegant illustrations by Harvard Professor John Dowling. Currently enrolled in his behavioral neuroscience class, I find this text captures the essential details for those with college-level physics and biochemistry backgrounds. As each chapter builds from the previous, it is recommended for private study as well.

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        6. History: Fiction or Science? (Chronology, No. 1)
        7. History: Fiction or Science? (Chronology, No. 1)
        8. History: Fiction or Science? (Chronology, No. 1)
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