ArticleCommunications biology2022
A hemispheric two-channel code accounts for binaural unmasking in humans.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Towards model-based characterization of individual electrically stimulated nerve fibers.PLoS computational biology · 2026Article
- A mammalian inferior colliculus model for sound source separation using interaural time differences.PLoS computational biology · 2025Article
- Inferring the basis of binaural detection with a modified autoencoder.Frontiers in neuroscience · 2023Article
- A hemispheric two-channel code accounts for binaural unmasking in humans.Communications biology · 2022Article
- Statistics of the instantaneous interaural parameters for dichotic tones in diotic noise (NFrontiers in neuroscience · 2022Article
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2 authors.
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Abstract
Sound in noise is better detected or understood if target and masking sources originate from different locations. Mammalian physiology suggests that the neurocomputational process that underlies this binaural unmasking is based on two hemispheric channels that encode interaural differences in their relative neuronal activity. Here, we introduce a mathematical formulation of the two-channel model - the complex-valued correlation coefficient. We show that this formulation quantifies the amount of temporal fluctuations in interaural differences, which we suggest underlie binaural unmasking. We applied this model to an extensive library of psychoacoustic experiments, accounting for 98% of the variance across eight studies. Combining physiological plausibility with its success in explaining behavioral data, the proposed mechanism is a significant step towards a unified understanding of binaural unmasking and the encoding of interaural differences in general.
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