Short periods of increased connectivity between ROIs are characterized by a sparse overall network state.

<p><b>A</b>. Plots display binarized connectivity graphs for a single participant between 2.6 and 6.6 Hz during retrieval. Blue dots indicate recording channels. Light blue surfaces indicate the location of the hippocampi for anatomical reference. Black stippling indicates the cort...

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Κύριος συγγραφέας:	Adam J. O. Dede (11554007) (author)
Άλλοι συγγραφείς:	Zachariah R. Cross (12517201) (author), Samantha M. Gray (15280322) (author), Joseph P. Kelly (22683512) (author), Qin Yin (688027) (author), Parisa Vahidi (6252611) (author), Eishi Asano (10954801) (author), Stephan U. Schuele (8892719) (author), Joshua M. Rosenow (8892722) (author), Joyce Y. Wu (3162564) (author), Sandi K. Lam (10529066) (author), Jeffrey S. Raskin (22683515) (author), Jack J. Lin (7553783) (author), Olivia Kim McManus (22683518) (author), Shifteh Sattar (13215409) (author), Ammar Shaikhouni (5722517) (author), David King-Stephens (22683521) (author), Peter B. Weber (22683524) (author), Kenneth D. Laxer (14948857) (author), Peter Brunner (290008) (author), Jarod L. Roland (9193178) (author), Ignacio Saez (2165584) (author), Fady Girgis (17749833) (author), Robert T. Knight (7108925) (author), Noa Ofen (4059280) (author), Elizabeth L. Johnson (12688232) (author)
Έκδοση:	2025
Θέματα:	Cell Biology Neuroscience Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified using intracranial eeg recognition memory task graph theoretic analysis sparse network states direct stimulus processing sparse connectivity aligned external stimulus presentation internal pfc peaks internal hfb peaks mtl theta connectivity stimulus presentation local processing generated states external event theta oscillations pfc changed patients performing global organization frequency broadband contrasting analyses anchored either analyses triggered
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Short periods of increased connectivity between ROIs are characterized by a sparse overall network state.

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