The code provided is a computational model of the Nav1.6 sodium channel, which is a voltage-gated sodium channel. These channels are critical for initiating and propagating action potentials in neurons. Nav1.6 is a specific subtype of sodium channels, prevalent in the central nervous system and reported to have high expression in nodes of Ranvier, where they facilitate rapid saltatory conduction along myelinated axons.
gna
): The model focuses on ionic conductance associated with sodium (na
) ions. The suffix nav1p6
indicates it simulates the Nav1.6 channel subtype. The channel allows sodium ions to flow into the neuron, generating an inward sodium current (ina
), which contributes to the depolarizing phase of the action potential.ena
): Set at 55 mV, this parameter denotes the equilibrium potential for sodium ions, influencing the driving force for sodium entry once the channel opens.m
) and Inactivation (h
) Gating Variables: The model describes the opening (activation) and closing (inactivation) dynamics of the channel using gating variables m
and h
.
m
(activation): Reflects the probability of the channel being open. It follows third-order kinetics (m^3
), meaning three identical activation processes must occur for the channel to open, typical of sodium channels.h
(inactivation): Reflects the probability of the channel transitioning to a non-conductive state, preventing ion passage even if the activation gate is open.minf
, hinf
): These functions determine the voltage-dependent probability that the gating variables will be in their open (for m
) or closed/inactivated (for h
) states.mtau
, htau
): The model simulates how quickly these gating variables respond to changes in voltage. The tau values are voltage-dependent, reflecting biological measurements where channel kinetics vary with membrane potential.vhminf
, kminf
, vhhinf
, khinf
): These parameters define the sensitivity of the gating mechanisms to changes in membrane voltage. Specific midpoints (vhminf
, vhhinf
) and slope factors (kminf
, khinf
) determine the voltage relationship for the gating transitions.In essence, the code models the Nav1.6 channel’s dynamics, capturing how the channel responds to changes in membrane potential by altering its opening probability (activation) and transition to a non-conducting state (inactivation). This simulation helps elucidate the channel's role in neuronal excitability and action potential conduction.