title: Glutamate gated spiking Neuron Model.
abstract: BACKGROUND
  Biological neuron models mainly analyze the behavior of neural networks. Neurons are described in terms of firing rates viz an analog signal.
  
  
  OBJECTIVE
  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.
authors.affiliation: Dept of Electronics and Communication Engg, Tezpur University, Napaam Post, Tezpur, Assam -784028;
authors.forename: Krisha M
authors.initials: KM
authors.lastname: Deka
authors.affiliation: Dept of Electronics and Communication Engg, Tezpur University, Napaam Post, Tezpur, Assam -784028.
authors.forename: Soumik
authors.initials: S
authors.lastname: Roy
keywords: ENFET; Glutamate; Ion channels; Postsynaptic neuron; postsynaptic membrane; synapse; synaptic cleft