This paper focuses on the modeling of the neural representations of subjective auditory image motion characters that can be induced by bilateral brain dysfunctions. The modeling is based on a biologically inspired computational model that simulates the behavior of bilaterally located populations of binaural auditory neurons. To assess neural model responses in terms of psychophysical data, a special method is designed. The application of the method reveals the inertness of auditory image motion perception. The results of the modeling show stable influence of both value and bilateral location of the noises (which mimic effect of different brain part dysfunctions) on phenomena of auditory image localization.