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Within-Category Mismatch Responses to Parametrically Varying Speech Sounds.
Chao Han1,2, Arild Hestvik2, William Idsardi3
1Department of Language Studies, University of Toronto Scarborough, Toronto, Ontario, Canada.
The European Journal of Neuroscience
|April 17, 2026
Summary
Mismatch negativity (MMN) detection in speech processing is influenced by acoustic details, not just abstract phoneme categories. Auditory cortex responses show sensitivity to stimulus statistics, challenging purely symbolic memory trace theories.
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Cognitive Psychology
Background:
- Mismatch negativity (MMN) is an auditory evoked potential reflecting prediction error.
- Previous theories proposed MMN relies on abstract phoneme representations for speech sound deviance detection.
- Varying-standards paradigms were used to investigate the role of symbolic phonological underspecification.
Purpose of the Study:
- To test if varying phonetic standards within a category eliminates MMN.
- To determine if MMN reflects abstract phoneme categories or stimulus statistical properties.
- To re-evaluate studies using varying-standards paradigms.
Main Methods:
- Three electroencephalography (EEG) experiments were conducted.
- Stimuli involved English /t/ sounds varying in voice onset time (VOT).
- Within-category deviants and varying standards were presented.
Main Results:
- A robust MMN was observed for within-category deviants even with varying standards.
- This finding contradicts the prediction of an exclusively symbolic phoneme-based memory trace.
- Evidence suggests MMN reflects sensitivity to acoustic stimulus statistics.
Conclusions:
- The auditory cortex encodes acoustic details within speech categories for MMN.
- MMN in varying-standards paradigms reflects statistical learning of stimulus properties.
- Reinterpretation of prior research is needed considering stimulus statistics encoding.
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