کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7284198 | 1474033 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Temporal dynamics of contingency extraction from tonal and verbal auditory sequences
ترجمه فارسی عنوان
دینامیک زمانی از استخراج احتمالی از توالی شنوایی تونال و کلامی
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کلمات کلیدی
Predictive coding - برنامه نویسی پیش بینی شدهDeviance detection - تشخیص انحرافLanguage - زبانBrain activity - فعالیت مغزRegularity - منظم بودنMismatch negativity (MMN) - منفی بودن ناهمسانی (MMN)Event-related potential (ERP) - پتانسیل مربوط به رویداد (ERP)Speech - گفتار یا تکلمContingency learning - یادگیری احتمالی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
چکیده انگلیسی
Consecutive sound events are often to some degree predictive of each other. Here we investigated the brain's capacity to detect contingencies between consecutive sounds by means of electroencephalography (EEG) during passive listening. Contingencies were embedded either within tonal or verbal stimuli. Contingency extraction was measured indirectly via the elicitation of the mismatch negativity (MMN) component of the event-related potential (ERP) by contingency violations. MMN results indicate that structurally identical forms of predictability can be extracted from both tonal and verbal stimuli. We also found similar generators to underlie the processing of contingency violations across stimulus types, as well as similar performance in an active-listening follow-up test. However, the process of passive contingency extraction was considerably slower (twice as many rule exemplars were needed) for verbal than for tonal stimuli These results suggest caution in transferring findings on complex predictive regularity processing obtained with tonal stimuli directly to the speech domain.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain and Language - Volume 148, September 2015, Pages 64-73
Journal: Brain and Language - Volume 148, September 2015, Pages 64-73
نویسندگان
Alexandra Bendixen, Michael Schwartze, Sonja A. Kotz,