The provided code models the electrophysiological behavior of neurons with a focus on ionic currents responsible for action potential generation and propagation. Specifically, it is a modification of the Morris-Lecar model, enhanced with a variable T-type calcium current, drawing on work by Prescott and Rubin. Here are the key biological aspects modeled by this code:
minf(V)
which is dependent on the membrane potential V
.gna
(maximum conductance) and vna
(reversal potential), reflecting sodium ion dynamics in real neurons.y
. It mimics the cumulative effect of potassium channel opening, which helps return the membrane potential to its resting state.yinf(V)
and tauy(V)
define the steady-state activation and time constant of the potassium current.gl
) and reversal potential (vl
) are set to simulate the non-voltage dependent, constant background current.mtinf(V)
) and slow inactivation (htinf(V)
), reflecting the dual gating properties of this current type.itf(v,mt,ht)
embodies the T-type current dependent on both the gating variables mt
and ht
.dc_noise
and nd
) aims to replicate the stochastic nature of neuronal firing.Iext
, linked to external stimulations, models experimental conditions or synaptic input affecting neuronal behavior.This model combines fast sodium, delayed rectifier potassium, leak, and T-type calcium currents to simulate the complex behavior of neuronal action potentials and firing patterns. By incorporating noise and parameters for external stimuli, it reflects realistic neuronal dynamics within a computational framework, providing insights into the interplay between different ionic currents and their contribution to neuronal excitability and signaling.