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The NEURON Book

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The NEURON Book

The NEURON Book

Nicholas T. Carnevale, Yale University, Connecticut
Michael L. Hines, Yale University, Connecticut
July 2009
Paperback
9780521115636
    Description

    Assuming no previous knowledge of computer programming or numerical methods, The NEURON Book provides practical advice on how to get the most out of the NEURON software program. Although written primarily for neuroscientists, teachers and students, readers with a background in the physical sciences or mathematics and some knowledge about brain cells and circuits, will also find it helpful. Covering details of NEURON's inner workings, and practical considerations specifying anatomical and biophysical properties to be represented in models, this book uses a problem-solving approach that includes many examples to challenge readers.

    • NEURON is the leading software program used by neuroscience laboratories around the world for modeling of biological neurons and neural networks
    • The second author, Michael L. Hines is the creator and chief software architect of NEURON software and both authors have many years experience of developing tutorials and presenting courses on NEURON
    • It assumes no previous knowledge of computer programming or numerical methods and is full of working examples and practical advice on how to get the most out of NEURON.
    • This is the only book covering how to use NEURON, including examples

    Product details

    July 2009
    Paperback
    9780521115636
    480 pages
    234 × 156 × 25 mm
    0.67kg
    170 b/w illus. 8 tables
    Available

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    Contents

    Table of Contents

    • Preface
    • Acknowledgements
    • 1. A tour of the NEURON simulation environment
    • 2. The modeling perspective
    • 3. Expressing conceptual models in mathematical terms
    • 4. Essentials of numerical methods for neural modeling
    • 5. Representing neurons with a digital computer
    • 6. How to build and use models of individual cells
    • 7. How to control simulations
    • 8. How to initialize simulations
    • 9. How to expand NEURON's library of mechanisms
    • 10. Synaptic transmission and artificial spiking cells
    • 11. Modeling networks
    • 12. Hoc, NEURON's interpreter
    • 13. Object-oriented programming
    • 14. How to modify NEURON itself
    • Appendix 1. Mathematical analysis of IntFire4
    • Appendix 2. NEURON's built-in editor
    • References
    • Epilogue
    • Index.
      • Show more
    Courses
    Resources
    Additional Information
    About the authors
      Authors
    • Nicholas T. Carnevale , Yale School of Medicine, Connecticut

      Nicholas T. Carnevale is Senior Research Scientist in the Department of Psychology at Yale University. He also directs the NEURON courses at the annual meetings of the Society of Neuroscience and the NEURON Summer Courses at the University of California, San Diego and University of Minnesota, Minneapolis.

    • Michael L. Hines , Yale University, Connecticut

      Michael L. Hines is Research Scientist in the Department of Computer Science at Yale University. His work is embodied in a program, NEURON, which enjoys wide use in the experimental and computational neuroscience community.

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