Glutamate gated spiking Neuron Model.
BACKGROUND
Biological neuron models mainly analyze the behavior of neural networks. Neurons are described in terms of firing rates viz an analog signal.


PURPOSE
The Izhikevich neuron model is an efficient, powerful model of spiking neuron. This model is a reduction of Hodgkin-Huxley model to a two variable system and is capable of producing rich firing patterns for many biological neurons.


METHODS
In this paper, the Regular Spiking (RS) neuron firing pattern is used to simulate the spiking of Glutamate gated postsynaptic membrane.


RESULTS
Simulation is done in MATLAB environment for excitatory action of synapses.


CONCLUSIONS
Analogous simulation of spiking of excitatory postsynaptic membrane potential is obtained.