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Within- and between-subject consistency of perceptual segmentation in periodic noise: A combined behavioral tapping and EEG study

MPG-Autoren
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Ringer,  Hanna
International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Institute of Psychology, University of Leipzig, Germany;

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Zitation

Ringer, H., Schröger, E., & Grimm, S. (2023). Within- and between-subject consistency of perceptual segmentation in periodic noise: A combined behavioral tapping and EEG study. Psychophysiology, 60(2): e14174. doi:10.1111/psyp.14174.


Zitierlink: https://hdl.handle.net/21.11116/0000-000B-1DA2-E
Zusammenfassung
The human auditory system is capable of learning unstructured acoustic patterns that occur repeatedly. While most previous studies on perceptual learning focused on seamless pattern repetitions, our study included several presentation formats, which are more typical for memory tasks (involving temporal delays or irrelevant information between pattern presentations), and probed active recognition of learned patterns more directly. We adapted an established implicit learning paradigm and presented three groups of listeners with the same acoustic patterns in different presentation formats, i.e., either back-to-back, separated by a silent interval or by a masker sound. Participants additionally completed an unexpected memory test after the learning phase. We found substantial learning in all groups, measured indirectly via the increased sensitivity in a perceptual task for patterns that occurred repeatedly (compared to patterns that occurred only once) and more directly via above-chance recognition performance in the memory test. Pattern learning and recognition were robust across presentation formats. Therefore, we propose that similar mechanisms might underlie memory formation for initially unfamiliar sounds in everyday listening situations. Moreover, memories for unstructured acoustic patterns that were acquired implicitly through perceptual learning enable subsequent active recognition.