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.
|    chapter1||Numerical methods for differential equations; forward and backward Euler methods; Runge Kutta method; parameter sensitivity; general introduction to the example models.|
Reaction kinetics: binding reactions, enzyme reactions with
Michaelis-Menten kinetics, PKC parameterization.
|    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.|