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Sound in noise is better detected or understood if target and masking sourcesoriginate from different locations. Mammalian physiology suggests that theneurocomputational process that underlies this binaural unmasking is based ontwo hemispheric channels that encode interaural differences in their relativeneuronal activity. Here, we introduce a mathematical formulation of thetwo-channel model - the complex-valued correlation coefficient. We show thatthis formulation quantifies the amount of temporal fluctuations in interauraldifferences, which we suggest underlie binaural unmasking. We applied thismodel to an extensive library of psychoacoustic experiments, accounting for 98%of the variance across eight studies. Combining physiological plausibility withits success in explaining behavioral data, the proposed mechanism is asignificant step towards a unified understanding of binaural unmasking and theencoding of interaural differences in general.

A hemispheric two-channel code accounts for binaural unmasking in humans