Nav1p1_RI2021_SC

class braincell.channel.Nav1p1_RI2021_SC(size, temp=Quantity(295.15, 'K'), g_max=Quantity(8., 'mS / cm^2'), gateCurrent=0.0, name=None, solver=None, substeps=None)

Non-resurgent Nav1.1 sodium current, stellate-cell parameterisation.

The same non-resurgent Narsg sodium current documented on Nav1p1_MA2025_BC – derived from the Khaliq et al. (2003) [1] resurgent-current model and used for Kv3/Nav1.1 excitability studies by Akemann, Lundby, Mutoh & Knopfel (2009) [2] – imported here for the stellate-cell model of Rizza et al. (2021) [3].

Parameters:

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

• temp (Array | ndarray | bool | number | bool | int | float | complex | Quantity) – Absolute temperature driving the \(\phi\) factor, default 22 degrees Celsius.

• g_max (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Maximal conductance density, default 8.0 mS/cm2.

• gateCurrent (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Enables the gating-current correction in current() when nonzero, default 0.0 (disabled).

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

• solver (str | None) – Override for Markov’s default ODE solver.

• substeps (int | None) – Override for Markov’s default substep count.

See also

Nav1p1_MA2025_BC

Same 13-state scheme and overridden constants, basket-cell model citation; the full kinetics, \(\phi\) formula and gating-current formula are documented there.

Nav1p6_RI2021_SC

Resurgent Nav1.6 sibling for the same stellate-cell model.

Notes

Ported from Nav1p1_RI21_SC.mod. This class does not override __init__: the constructor signature, the 13-state kinetics, the \(\phi\) temperature scaling, the Oon/epsilon/ zgate/gunit/e0 constants and the gating-current term in current() are all inherited unchanged from Nav1p1_MA2025_BC; only the citation and registration key differ.

No import deviation is recorded for this mechanism in the bibliography’s RI2021 import-deviations tables.

References

[1]

Khaliq, Z. M., Gouwens, N. W., & Raman, I. M. (2003). The contribution of resurgent sodium current to high-frequency firing in Purkinje neurons: an experimental and modeling study. The Journal of Neuroscience, 23(12), 4899-4912. doi:10.1523/JNEUROSCI.23-12-04899.2003

[2]

Akemann, W., Lundby, A., Mutoh, H., & Knopfel, T. (2009). Effect of voltage sensitive fluorescent proteins on neuronal excitability. Biophysical Journal, 96(10), 3959-3976. doi:10.1016/j.bpj.2009.02.046

[3]

Rizza, M. F., Locatelli, F., Masoli, S., Sanchez-Ponce, D., Munoz, A., Prestori, F., & D’Angelo, E. (2021). Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum. Scientific Reports, 11(1), 3873. doi:10.1038/s41598-021-83209-w

reset_state(V, Na, batch_size=None)

Reset the state of the ion channel.

This method should reset all state variables of the channel to their initial values.

Parameters:

• *args – Variable length argument list.

• **kwargs – Arbitrary keyword arguments.