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The NEURON Book

$82.00 (P)

  • Date Published: July 2009
  • availability: Available
  • format: Paperback
  • isbn: 9780521115636

$ 82.00 (P)
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About the Authors
  • 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
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    Product details

    • Date Published: July 2009
    • format: Paperback
    • isbn: 9780521115636
    • length: 480 pages
    • dimensions: 234 x 156 x 25 mm
    • weight: 0.67kg
    • contains: 170 b/w illus. 8 tables
    • availability: Available
  • 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.

  • 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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