The code provided is a model of an ion channel referred to as the "H channel," which is based on work by Otto Friesen in the field of neurodynamics. This model is implemented using the NEURON simulation environment, a common tool for simulating neurons and networks of neurons.
H Channels (Hyperpolarization-activated channels):
Gating Variable (m):
m
represents the activation gating variable of the channel. It determines the proportion of channels that are open at any given time.m
are governed by its steady-state value (minf
) and a time constant (taum
), which describe how the channel responds to changes in membrane potential.Steady-State Activation (minf):
m
is determined by the minf
equation, which is an example of a Boltzmann sigmoidal function. This describes how m
transitions between fully closed (0) and fully open (1) as a function of voltage (v
).VhlfMaxm
and slopem
define the voltage at which half of the channels are open and the steepness of the voltage dependence, respectively.Reversal Potential (eh):
eh
) is set to -20 mV
and represents the membrane potential at which there is no net flow of ions through the channel. This indicates a mixed conductance channel typical of H channels.Channel Conductance (g and gmax):
g
) of the channel is a key factor in determining the ionic current, which is calculated as the product of the maximum conductance (gmax
), the gating variable (m
), and the driving force determined by the difference between membrane potential (v
) and the reversal potential (eh
).The provided code models an H channel, capturing its unique voltage-dependent activation through the variables representing channel gating kinetics. This is fundamental for understanding how such channels contribute to neuronal excitability and the generation of rhythmic electrical activity in neurons. The model abstracts certain biological complexities, focusing on the essential characteristics that define H channel function within physiological contexts.