A neural oscillator model of primitive auditory grouping

Abstract

A computational model of primitive auditory scene analysis is described, in which the grouping of peripheral frequency channels is signalled by the pattern of temporal synchronisation in a network of neural oscillators. It is demonstrated that the model is able to group acoustic components according to their fundamental frequencies and onset times. Implications for models of pitch perception are discussed.