A new binaural detection model based on contralateral inhibition

Binaural models attempt to explain binaural phenomena in terms of neural mechanisms that extract binaural information from accoustic stimuli. In this paper, a model setup is presented that can be used to simulate binaural detection tasks. In contrast to the most often used cross correlation between the right and left channel, this model is based on contralateral inhibition. The presented model is applied to a wide range of binaural detection experiments. It shows a good fit for changes in masker bandwidth or masker correlation, static and dynamic ues and level and frequency dependencies.

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