Ca_ZH2019_IO

Ca_ZH2019_IO#

class braincell.channel.Ca_ZH2019_IO(size, g_max=Quantity(0.4, 'mS / cm^2'), E=Quantity(120., 'mV'), mMidV=Quantity(-61., 'mV'), freeze_m_inf=True, name=None)#

Template-based import of Ca_ZH2019_IO.mod.

Parameters:

  • size (int | Sequence[int] | integer | Sequence[integer]) – Channel state shape.

  • g_max (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Maximum conductance density.

  • E (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Calcium current reversal potential.

  • mMidV (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Midpoint parameter used by the instantaneous activation curve.

  • freeze_m_inf (bool) – Whether to stop autodiff through the instantaneous activation factor while preserving the forward current value.

  • name (str | None) – Optional module name.

Notes

The source IO mechanism uses instantaneous activation and one dynamic inactivation gate. Freezing m_inf is useful for NEURON-style no-concentration channel comparisons where the forward current should match while the local voltage Jacobian only includes the driving-force term.

current(V)[source]#

Calculate the current for this ion channel.

This method should be implemented by subclasses to compute the current based on the channel’s specific properties and state.

Parameters:

  • *args – Variable length argument list.

  • **kwargs – Arbitrary keyword arguments.

Raises:

NotImplementedError – This method must be implemented by subclasses.

root_type#

alias of HHTypedNeuron