Glutamate gated spiking Neuron Model
作者： Krisha Moni Deka , Soumik Roy
DOI: 10.5214/ANS.0972.7531.210105
关键词:
摘要: Background : Biological neuron models mainly analyze the behavior of neural networks. Neurons are described in terms firing rates viz an analog signal. Method The Izhikevich model is efficient, powerful spiking neuron. This a reduction Hodgkin-Huxley to two variable system and capable producing rich patterns for many biological neurons. Purpose In this paper, Regular Spiking (RS) pattern used simulate Glutamate gated postsynaptic membrane. Result Simulation done MATLAB environment excitatory action synapses . Conclusion: Analogous simulation membrane potential obtained. Conflict Interests: None, Source funding: None; Received Date 17 December 2013; Revised 24 January 2014; Accepted 12 March 2014 doi 10.5214/ans.0972.7531.210105
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