Table of Contents

1. The membrane equation; 2. Linear cable theory; 3. Passive dendritic trees; 4. Synaptic input; 5. Synaptic interactions in a passive dendritic tree; 6. The Hodgkin-Huxley model of action-potential generation; 7. Phase space analysis of neuronal excitability; 8. Ionic channels; 9. Beyond Hodgkin and Huxley: calcium, and calcium-dependent potassium currents; 10. Linearizing voltage-dependent currents; 11. Diffusion, buffering, and binding; 12. Dendritic spines; 13. Synaptic plasticity; 14. Simplified models of individual neurons; 15. Stochastic models of single cells; 16. Bursting cells; 17. Input resistance, time constants, and spike initiation; 18. Synaptic input to a passive tree; 19. Voltage-dependent events in the dendritic tree; 20. Unconventional coupling; 21. Computing with neurons - a summary