Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences
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Research suggests that long-horizon associative learning may be the key to understanding human sensitivity to certain patterns in sound sequences. This concept is being studied in relation to statistical and network structures in auditory sequences. The findings may shed light on how humans process and perceive complex sound patterns.