ANNULÉ - Statistical inference in auditory perception

The brain’s ability to extract statistical regularities from sound is an important tool in auditory scene analysis, necessary for object recognition, structural learning (in speech or music), texture perception, and novel event detection. In this talk, we explore perceptual, neural and computational principles underlying the brain’s ability to collect complex and non-deterministic patterns in echoic memory. These processes underlie statistical inference in auditory perception and guide our ability to delineate salient changes in our acoustic environment. We will explore the acoustic dimensionality and statistical granularity of this inference space using complex soundscapes; and discuss theoretical interpretation of perceptual and neural findings in terms of coding mechanisms in the brain. 

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