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.