The computational model provided simulates the M-current, a type of potassium ion current that plays a crucial role in the electrical behavior of neurons. This current is named for its slow activation properties ("M" refers to "muscarinic"). It is important in regulating neuronal excitability, influencing processes such as the resting membrane potential and firing frequency.
m
, that represents the proportion of channels that are open, contributing to the current. Its value is updated based on the membrane potential (v
), with activation increasing at depolarized potentials.m_inf
function calculates the steady-state activation level of the channels, indicative of the fraction of open channels at a given potential indefinitely.tau_m
represents the time constant for gating variable m
to reach its steady-state value, characterizing the kinetics of channel opening or closing. The slow nature of tau_m
is a defining feature of the M-current.tadj
, reflecting how biological processes accelerate with increased temperature, a common practice in such models.gkbar
), which scales the contribution of the M-current to the overall membrane current.Overall, this code provides a simplified representation of the biophysical properties of the M-current to facilitate the study of its role in neuronal dynamics and its contribution to the overall ionic conductance in neurons.