Performance gains in activity flow prediction after combining spatial and functional embedding of routes.

Performance gains in activity flow prediction after combining spatial and functional embedding of routes.

<p>Accuracy of activity flow prediction based on FC <b>(A)</b>, FC(SE) <b>(B)</b>, and FC(FE, SE) <b>(</b><b>C</b><b>)</b> for different datasets. Accuracy of activity flow prediction based on SPL <b>(D)</b>, SPL<sub>...

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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
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