Musch, Ronald (2022) An EEG Study of Statistical Tone Learning: Results from an ITC Analysis. Bachelor's Thesis, Artificial Intelligence.
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Abstract
This bachelor’s thesis investigates whether memory traces, that would be evidence of tonal learning, can be found for adult non-tonal language speakers during a short exposure. Eighteen participants were presented with two multi-feature oddball tasks and a short behavioral test, while EEG data was recorded. Each participant was exposed to four Mandarin tones while being distracted by a nature documentary. The EEG data were analyzed using a time-frequency analysis, looking at the difference in inter-trial coherence (ITC) in particular. In both the EEG and behavioral data, it was found that participants show signs of statistical syllabic and tonal learning, within five to ten minutes of exposure. This suggests that tones are statistically learnable and that the process of learning tones is visible in memory traces.
Item Type: | Thesis (Bachelor's Thesis) |
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Supervisor name: | Spenader, J.K. and Tang, M. |
Degree programme: | Artificial Intelligence |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 15 Jul 2022 12:57 |
Last Modified: | 15 Jul 2022 12:57 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27921 |
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