Time-shifted TRF improves prediction accuracy.

<p>The prediction accuracy was measured using Pearson’s correlation, and the significance of improvement was measured using paired Wilcoxon signed rank tests across participants. Electrodes where the prediction improvement is significant (p < 0.05) were labeled with white circles. P values...

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Bibliographic Details
Main Author:	Jin Dou (13831985) (author)
Other Authors:	Andrew J. Anderson (20161392) (author), Aaron S. White (21192794) (author), Samuel V. Norman-Haignere (21192797) (author), Edmund C. Lalor (11450457) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Mental Health Biological Sciences not elsewhere classified word &# 8217 temporal scale based simply explained based parietal negativity reminiscent classic n400 component additional analysis suggests model eeg recorded immediately preceding word framework also improves analysis typically assumes speech linguistically relate linguistic speech features regressing eeg responses individual words may natural speech depend typically assumed preceding context individual words framework wherein eeg responses eeg indexes natural speech narrative speech xlink "> study demonstrates single talker related potential recent years quickly words prior words previous implementations present work phonetic neighbors neural responses like responses invariant relationship expected words dynamic modeling brain responses become clear audiobook narrated
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Time-shifted TRF improves prediction accuracy.

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