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• W2113751196 abstract "In this study we have used recurrence analysis (RA) to classify ERPs that appear from episodic memory retrieval in old/new recognition task. Since RA is based on embedding phase space, we have used correlation dimension and autocorrelation function in order to estimate embedding dimension and the lag time between successive components of each of embedding space vectors alternatively. According to RA the rates of classification have been improved in comparison to previous study. We have obtained 98.9% accuracy for train data and 97.7% for test data. Furthermore we could classify ERPs with line interference noise using RA." @default.
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• W2113751196 date "2007-08-01" @default.
• W2113751196 modified "2023-09-27" @default.
• W2113751196 title "Phase space analysis of Event Related Potential during episodic memory retrieval" @default.
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• W2113751196 doi "https://doi.org/10.1109/iembs.2007.4352710" @default.
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