Abstract
What is noise? When does a sound form part of the acoustic background and when might it come to our attention as part of the foreground? Our brain seems to filter out irrelevant sounds in a seemingly effortless process, but how this is achieved remains opaque and, to date, unparalleled by any algorithm. In this review, we discuss how noise can be both background and foreground, depending on what a listener/brain is trying to achieve. We do so by addressing questions concerning the brain’s potential bias to interpret certain sounds as part of the background, the extent to which the interpretation of sounds depends on the context in which they are heard, as well as their ethological relevance, task-dependence, and a listener’s overall mental state. We explore these questions with specific regard to the implicit, or statistical, learning of sounds and the role of feedback loops between cortical and subcortical auditory structures.
| Original language | English |
|---|---|
| Article number | 501 |
| Pages (from-to) | 1-15 |
| Number of pages | 15 |
| Journal | Biology |
| Volume | 13 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 4 Jul 2024 |
Bibliographical note
Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- auditory
- auditory cortex
- background
- feedback
- foreground
- inferior colliculus
- loops
- noise
- statistical learning
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