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Authoritative reference on NEURON, the software program used by neuroscientists to create models to study the function of biological neurons.
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Authoritative reference on NEURON, the software program used by neuroscientists to create models to study the function of biological neurons.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 480
- Erscheinungstermin: 10. März 2009
- Englisch
- Abmessung: 234mm x 156mm x 26mm
- Gewicht: 723g
- ISBN-13: 9780521115636
- ISBN-10: 0521115639
- Artikelnr.: 26222392
- Verlag: Cambridge University Press
- Seitenzahl: 480
- Erscheinungstermin: 10. März 2009
- Englisch
- Abmessung: 234mm x 156mm x 26mm
- Gewicht: 723g
- ISBN-13: 9780521115636
- ISBN-10: 0521115639
- Artikelnr.: 26222392
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.
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.
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.
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.
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.
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.
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.