Systems of differential equations: Simulations of single neuron models (implemented in EjsS)
Krinky-Kokoz-Rinzel model
Simulation of the Krinsky-Kokoz-Rinzel model
The system of four differential equations of the Hodgkin-Huxley model can be reduced to a two-dimensional dynamical system in the following way.
Examining the behaviour of the state variables in the Hodgkin-Huxley model, one may notice that the sum of the gate functions and is nearly constant and that the gate function changes relatively rapidly because its time scale is small compared to the time scales of and in the relevant voltage range. In mathematical formules this means that , for some constant , and that . Thus we have the following systen of equations: where is the membrane potential, is the Nernst potential for a given ion or the leakage potential (for ), and the gate function , satisfies an initial value problems of exponentially restricted growth equations with voltage-dependent coefficients.
We have also introduced blocking of potassium and sodium channels by adding to the model parameters and , defined as the fractions of active ion channels (in terms of percentages and of blocked ion channels): Blocking of ion channels often is a result of neurotoxines: Tetrodoxin (TTX), isolated from the Japanese pufferfish fugu, blocks sodium channels, and Tetraethylammonium (TEA) blocks potassium channels.