# INa_HH1952#

class brainpy.dyn.INa_HH1952(size, keep_size=False, E=50.0, g_max=120.0, phi=1.0, V_sh=-45.0, method='exp_auto', name=None, mode=None)[source]#

The sodium current model described by Hodgkin–Huxley model [1].

The dynamics of this sodium current model is given by:

\begin{split}\begin{split} \begin{aligned} I_{\mathrm{Na}} &= g_{\mathrm{max}} m^3 h \\ \frac {dm} {dt} &= \phi (\alpha_m (1-x) - \beta_m) \\ &\alpha_m(V) = \frac {0.1(V-V_{sh}-5)}{1-\exp(\frac{-(V -V_{sh} -5)} {10})} \\ &\beta_m(V) = 4.0 \exp(\frac{-(V -V_{sh}+ 20)} {18}) \\ \frac {dh} {dt} &= \phi (\alpha_h (1-x) - \beta_h) \\ &\alpha_h(V) = 0.07 \exp(\frac{-(V-V_{sh}+20)}{20}) \\ &\beta_h(V) = \frac 1 {1 + \exp(\frac{-(V -V_{sh}-10)} {10})} \\ \end{aligned} \end{split}\end{split}

where $$V_{sh}$$ is the membrane shift (default -45 mV), and $$\phi$$ is the temperature-dependent factor (default 1.).

Parameters:
• size (int, tuple of int) – The size of the simulation target.

• keep_size (bool) – Keep size or flatten the size?

• method (str) – The numerical method

• name (str) – The name of the object.

• g_max (float, ArrayType, Callable, Initializer) – The maximal conductance density ($$mS/cm^2$$).

• E (float, ArrayType, Callable, Initializer) – The reversal potential (mV).

• V_sh (float, ArrayType, Callable, Initializer) – The membrane shift.

References

master_type#

alias of HHTypedNeuron