شنبه 15 اردیبهشت 1403
| عنوان مقاله | |
| عنوان مقاله |
Hidden Markov Modeling of Frequency-Following Responses to Mandarin Lexical Tones |
| عنوان فارسی مقاله | مدل سازی پنهان مارکوف پاسخ های فرکانس به دنبال زنگ واژگان ماندارین |
| مشخصات مقاله انگلیسی | |
| نشریه: Elsevier |
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| سال انتشار |
2017 |
| عنوان مجله |
Journal of Neuroscience Methods |
| تعداد صفحات مقاله انگلیسی | 37 |
| رفرنس | دارد |
| تعداد رفرنس | 72 |
| چکیده مقاله | |
| چکیده |
Background. The frequency-following response (FFR) is a scalp-recorded electrophysiological potential reflecting phase-locked activity from neural ensembles in the auditory system. The FFR is often used to assess the robustness of subcortical pitch processing. Due to low signal-to-noise ratio at the single-trial level, FFRs are typically averaged across thousands of stimulus repetitions. Prior work using this approach has shown that subcortical encoding of linguistically-relevant pitch patterns is modulated by long-term language experience. |
| کلمات کلیدی |
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| دانلود | |
