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Biophysics of Computation


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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

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