Data-driven network neuroscience: on data collection and benchmark

Data-driven network neuroscience: on data collection and benchmark

This paper presents a comprehensive and quality collection of functional human brain network data for potential research in the intersection of neuroscience, machine learning, and graph analytics. Anatomical and functional MRI images have been used to understand the functional connectivity of the hu...

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Bibliographic Details
Main Authors: Xu, Jiaxing, Yang, Yunhan, Huang, David Tse Jung, Gururajapathy, Sophi Shilpa, Ke, Yiping, Qiao, Miao, Wang, Alan, Kumar, Haribalan, McGeown, Josh, Kwon, Eryn
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Data::Files
Network Neuroscience
Brain Network Datasets
fMRI Images
Brain Network Construction Pipeline
Online Access:https://hdl.handle.net/10356/173325
https://neurips.cc/

Internet

https://hdl.handle.net/10356/173325
https://neurips.cc/

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