The code provided is a computational model of NMDA-type glutamate receptors (GluN-R) at a synapse. This model captures key aspects of the NMDA receptor's biological function in the central nervous system. Below is an explanation of the biological basis modeled by this code:
The NMDA receptor is a type of ionotropic glutamate receptor and is crucial for synaptic plasticity, learning, and memory. It is activated when both glutamate and glycine (or D-serine) are bound and the postsynaptic membrane is depolarized enough to relieve the Mg²⁺ block, resulting in calcium (Ca²⁺) and sodium (Na⁺) influx.
Transmitter Binding and Kinetics:
Cmax
) in the synaptic cleft.kon
, koff
, CC
, CO
, Beta
, Alpha
).Voltage-Dependent Mg²⁺ Block:
mgblock
models the voltage-dependent blockage of the NMDA receptor channel by extracellular Mg²⁺. This is captured using an exponential function, which reflects the pore blockage relieved by depolarization (B
).mg
), sensitivity to voltage (gamma
), and half-activation (sh
) are parameters influencing this block.Synaptic Current:
g
) scaled by open state probability (Ro), conductance maximum (gmax
), and weighing factor (weight
), multiplied by the voltage gradient across the membrane (V-Erev
).Decay Kinetics Sensitivity:
kin_slope
and kin_offset
, affecting the transition rates between states depending on voltage.gmax
and weight
, the model reflects how synaptic strength can be modulated, representing phenomena like synaptic scaling.This code is specifically designed to simulate the complex kinetics and regulatory properties of NMDA receptors, reflecting their physiological roles in neural communication and plasticity.