The NEURON Book
The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
- 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
No date availableHardback
9780521843218
480 pages
235 × 159 × 27 mm
0.887kg
170 b/w illus. 8 tables
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.