Ih_HM1992#
- class brainpy.dyn.Ih_HM1992(size, keep_size=False, g_max=10.0, E=43.0, phi=1.0, method='exp_auto', name=None, mode=None)[source]#
The hyperpolarization-activated cation current model propsoed by (Huguenard & McCormick, 1992) [1].
The hyperpolarization-activated cation current model is adopted from (Huguenard, et, al., 1992) [1]. Its dynamics is given by:
\[\begin{split}\begin{aligned} I_h &= g_{\mathrm{max}} p \\ \frac{dp}{dt} &= \phi \frac{p_{\infty} - p}{\tau_p} \\ p_{\infty} &=\frac{1}{1+\exp ((V+75) / 5.5)} \\ \tau_{p} &=\frac{1}{\exp (-0.086 V-14.59)+\exp (0.0701 V-1.87)} \end{aligned}\end{split}\]where \(\phi=1\) is a temperature-dependent factor.
- Parameters:
g_max (
Union[float,TypeVar(ArrayType,Array,Variable,TrainVar,Array,ndarray),Initializer,Callable]) – The maximal conductance density (\(mS/cm^2\)).E (
Union[float,TypeVar(ArrayType,Array,Variable,TrainVar,Array,ndarray),Initializer,Callable]) – The reversal potential (mV).phi (
Union[float,TypeVar(ArrayType,Array,Variable,TrainVar,Array,ndarray),Initializer,Callable]) – The temperature-dependent factor.
References
- master_type#
alias of
HHTypedNeuron