A neural network approach to auditory streaming

This paper suggests a neural network architecture for the streaming of an acoustic input using fundamental grouping cues of the mammalian auditory system. The auditory periphery is simulated using biologically relevant models, and the primary auditory cortex is represented by a neural network layer, in which three di erent features of the input are mapped and streamed. Finally, an attentional searchlight that is driven by the cortical network neurons, focuses on a selected cortical area representing a listener who focuses their attention on a distinct acoustic input.