A simulation network of first order auditory neurons for preprocessing of acoustic signals

Analysis of signal transformations in the auditory periphery model, which includes first order neuron models, revealed several remarkable features which would be useful for a system of short acoustic pulses identification. This paper describes the model of the auditory periphery and the basic properties of pulses transformations within it. A description is also given of the identification system containing the periphery model as a preprocessing module as well as a block for reduction of signal description redundancy and for decision making. The model test results are also presented