Performance of the activity flow prediction with different routes that combined spatial and functional embedding.

Performance of the activity flow prediction with different routes that combined spatial and functional embedding.

<p>The prediction accuracy is shown for the main <b>(A)</b>, replication <b>(B)</b>, and reduced <b>(</b><b>C</b><b>)</b> datasets. Statistical significance was identified based on the area under curve (AUC) across all density thresho...

Full description

Saved in:

Bibliographic Details
Main Author:	Zhengdong Wang (35299) (author)
Other Authors:	Yifeixue Yang (20846103) (author), Ziyi Huang (2743363) (author), Wanyun Zhao (20579201) (author), Kaiqiang Su (20846106) (author), Hengcheng Zhu (17731551) (author), Dazhi Yin (110014) (author)
Published:	2025
Subjects:	Neuroscience Evolutionary Biology Statistics Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> understanding scale information processing physical distance constraint network communication strategies including search information empirical network models asymmetric routing contribution activity flow prediction cognitive task information shortest path routing shortest path outperformed shortest path assumption shortest path path ensembles direct path cognitive neuroscience structural connectivity simultaneously considered significantly lower optimal route interregional functional functional embedding central goal brain networks also suggests
Tags:	Add Tag No Tags, Be the first to tag this record!

Cannot write session to /tmp/vufind_sessions/sess_qn2fo22hq6m9t2sn3tipoe5lkr