Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NIBIB NIH HHS
Grant: R01 EB029852
National Institutes of Health
Grant: 1R01EB029852-01
A Comparative Framework for Modeling the Low-Dimensional Geometry of Neural Population States
National Science Foundation
Grant: 2039741
EAGER:Using Network Analysis And Representational Geometry To Learn Structure-Function Relationship In Neural Networks
Fields of Study
Keywords
Sustainable Development Goals