Olfactory system is an important component in biological sensory nervous system.When olfactory receptor receives odor stimulation,it will transfer chemical signal into electrical signal,and deliver to the olfactory bulb,where integrates and codes the olfactory information,further to the cerebral olfactory cortex to generate olfaction.Establishment of olfactory neural network for the research of olfactory information processing is helpful to understand how olfactory system effectively differentiatesodors with different types and concentrations.Based on the traditional olfactory bulb model composed of mitral cells,granule cells and periglomerular cells,olfactory cortex was introduced to establish a complete olfactory neural network model.Meanwhile,inhibitory synaptic plasticity was considered when network was receiving stimulation.Theresults of simulation indicated that inhibitory synaptic plasticity could balance excitatory and inhibitory synaptic current in the olfactory cortex with specific firing patterns under odor stimulation.Olfactory cortex shows different firing patterns to different odor stimulations,and presents similar firing patterns and different firing strengths to the same type of odor at different concentrations.Meanwhile,based on hierarchical clustering and fuzzy clustering,recognition to pure odors and mixed odors is realized.