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Natural Sound Statistics Predict Auditory Grouping Principles
Name
29aa6f95efa6ecb2a2e4cf7b27256f4c304b.pdf
Description
Accepted version
Size
1007.84 KB
Format
Adobe PDF
Checksum (MD5)
a0e7a1ce9ef05a6f5f06512426fe79dc
Author(s)
Mlynarski, Wiktor
McDermott, Josh
Date Issued
2018
Publisher
Cognitive Computational Neuroscience
Citation
Mlynarski, Wiktor and McDermott, Josh. 2018. "Natural Sound Statistics Predict Auditory Grouping Principles."
Version
Author's final manuscript
Abstract
Events and objects in the world must be inferred from sensory signals to support behavior. Because sensory signals are transduced with measurements that are temporally and spatially local, the estimation of a particular object or event can be viewed as the result of grouping these local measurements into representations of their common causes. In the auditory system, perceptual grouping is believed to exploit acoustic regularities of natural sounds, such as the tendency of frequencies to be harmonically related or to share a common onset.However, acoustic grouping cues have traditionally been identified using intuitions and informal observation, and investigated using simple, artificial stimuli. As a result,the relevance of known grouping cues to real-world auditory scene analysis remains unclear, and additional or alternative cues remain a possibility. Here we derive auditory grouping cues from co-occurrence statistics of local acoustic features in natural sounds. This process recovers established cues but also reveals previously unappreciated aspects of grouping. The results provide confirmation that auditory grouping is adapted to natural stimulus statistics, and show how these statistics can be harnessed to reveal novel grouping phenomena.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.32470/ccn.2018.1135-0
