These models are part of the the Catacomb interactive modelling package. The chapters refer to the book Computational Neuroscience: Realistic Modeling for Experimentalists; Erik de Schutter, Editor, CRC Press.
You can run the models either through a Java- and Javascript-enabled Web browser by clicking on the thumbnail images, or by installing the standalone version of Catacomb where they appear under the models menu.
|     chapter1 | Numerical methods for differential equations; forward and backward Euler methods; Runge Kutta method; parameter sensitivity; general introduction to the example models. |
|     chapter2 |
Reaction kinetics: binding reactions, enzyme reactions with
Michaelis-Menten kinetics, PKC parameterization.
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|     chapter3 | Reaction-diffusion systems: buffering in a single well mixed pool; the excess buffer and rapid buffering approximations; diffusion of a single species in linear and spherical geometry; calcium diffusion with mobile buffers. |
|     chapter5 | Kinetic scheme representation of ion channels; Hodgkin-Huxley formalism; voltage clamp recordings of sodium and potassium channels. |
|     chapter7 | Cell growth according to propagation and branching rules; statistical properties of populations of grown cells. |
|     chapter8 | Passive cable properties: linearity, reciprocity, shunting, frequency dependent attenuation. |
|     chapter9 | Spine compartmentalization. |
|     chapter11 | Continuous firing rate networks; integrate and fire networks. |