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.
Inhaltsangabe
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.
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.
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