کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
404551 677437 2008 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using ANNs to predict a subject’s response based on EEG traces
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Using ANNs to predict a subject’s response based on EEG traces
چکیده انگلیسی

Numerous reports have shown that performing working-memory tasks causes an elevated rhythmic coupling in different areas of the brain; it has been suggested that this indicates information exchange. Since the information exchanged is encoded in brain waves and measurable by electroencephalography (EEG) it is reasonable to assume that it can be extracted with an appropriate method. In our study we made an attempt to extract the information using an artificial neural network (ANN), which can be considered as a stimulus–response model with a state observer. The EEG was recorded from three subjects while they performed a modified Sternberg task that required them to respond to each task with the answer “true” or “false”. The study revealed that a stimulus–response model can successfully be identified by observing phase-demodulated theta-band EEG signals 1 s prior to a subject’s answer. The results also showed that it was possible to predict the answers from the EEG signals with an average reliability of 75% for all the subjects. From this we concluded that it is possible to observe the system states and thus predict the correct answer using the EEG signals as inputs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 21, Issue 7, September 2008, Pages 881–887
نویسندگان
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