The provided code models NMDA (N-Methyl-D-Aspartate) receptor kinetics, which play a critical role in synaptic transmission and plasticity in the central nervous system.
NMDA receptors are a type of ionotropic glutamate receptor, which are ligand-gated ion channels. They mediate synaptic transmission through the influx of ions when activated by the neurotransmitter glutamate. Key characteristics of NMDA receptors include:
Voltage Dependence: NMDA receptors are unique in that their ion channel is blocked by magnesium (Mg2+) at resting membrane potential. Depolarization of the membrane relieves this block, allowing ion flux through the channel when glutamate is present. This characteristic is captured in the code through the mgblock
function.
Ion Permeability: NMDA receptors are permeable to calcium (Ca2+), sodium (Na+), and potassium (K+). The influx of Ca2+ is particularly important for activating intracellular signaling pathways involved in synaptic plasticity. The ica
variable represents the NMDA receptor's contribution to calcium influx.
The model simulates first-order kinetics of glutamate binding and unbinding to the NMDA receptor, which is controlled by the forward (Alpha
) and backward (Beta
) rate constants. These determine the rate at which channels open and close in response to glutamate presence, modeled as short transmitter pulses.
Alpha
and Beta
control the activation and deactivation of the receptor. Ron
and Roff
are the state variables representing the fraction of open and closed channels.The model includes a point process to simulate synaptic events, capturing the impulses (spikes) that trigger glutamate release. Key components include:
Cdur
and Cmax
simulate the duration and concentration of glutamate at the synapse.iNMDA
is calculated based on the channel conductance (g
) and the difference between the membrane potential (v
) and the reversal potential (e
).The magnesium block of the ion channel is voltage-dependent, reflected by the exponential function in mgblock(v)
that represents how the external magnesium concentration (mg
) influences receptor activity.
The model assumes a higher permeability of NMDA channels to calcium, reflected in the distribution of current components in the BREAKPOINT
block. It highlights the crucial role of NMDA receptors in calcium-mediated signaling, relevant for long-term potentiation (LTP) and memory formation.
This model captures key biophysical properties of NMDA receptors, supporting simulation of synaptic responses and investigation of their role in synaptic plasticity, neurotransmission, and neural network dynamics.