Perception of sound direction by auditory neural network model using pulse transmission-extraction of inter-aural time and level difference

A novel neural network model for percepting sound direction has been proposed. Our perception model is based on the physiological auditory nervous system in human brain. The model is divided roughly into three sections: preprocessing for input signals; transforming continuous signals to pulse trains; and extracting of features. The last section are implemented using pulse neuron model. A computer simulation has demonstrated that time and level differences between two random signals has been successfully extracted by the model.