The provided code models the biophysical properties of a voltage-gated sodium channel, often denoted as NaT (transient sodium channel), using the NEURON simulation environment. This channel type is crucial for the generation and propagation of action potentials in neurons.
m
and h
to represent the activation and inactivation dynamics of the sodium channel, respectively.
m
(activation variable): Indicates the probability of the channel being in an open, conducting state when the membrane depolarizes.h
(inactivation variable): Represents the probability of the channel being in a closed, non-conducting state following a peak of activation. Together, m
and h
determine the overall conductance (gNaTg
).mAlpha
, mBeta
, hAlpha
, hBeta
) calculate the transition rates between open/closed states for activation and inactivation. These rates are voltage-dependent, reflecting the sensitivity of sodium channels to changes in membrane potential.qt
): The code includes a temperature coefficient to adjust these rates to physiological temperature, as channel kinetics are temperature-sensitive.-38 mV
) and inactivation (-66 mV
), typical values for sodium channel function in mammalian neurons.vshiftm
, vshifth
, slopem
, and slopeh
allow for adjustments to the voltage at which activation/inactivation occurs and their steepness, facilitating modeling of channel variants or experimental conditions.ina
) is calculated based on the conductance (gNaTg
) and the difference between the membrane potential (v
) and the sodium reversal potential (ena
), capturing the driving force for Na+ ions.The code encapsulates a computational model of the transient sodium current, a key component in the electrophysiological behavior of neurons. It implements the dynamics of channel opening and closing in response to voltage changes, essential for action potential initiation and propagation. The model is parameterized to reflect realistic neuronal physiology, with potential for modifications to suit specific experimental or physiological conditions.