Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function is a research paper published in Network Neuroscience (2021). On theSindex it has a DataRank of 0. It has been cited 19 times.
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National Institutes of Health
Grant: R01AG071243
National Institutes of Health
Grant: R01MH125928
National Institutes of Health
Grant: U01AG068057
National Science Foundation
Grant: IIS2045848
National Science Foundation
Grant: IIS1837956
NIMH NIH HHS
Grant: RF1 MH125928
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 1RF1MH125928-01
Connecting late-life depression and cognition with statistical physics based connectomics and sparse Frechet regression
National Institutes of Health
Grant: 5R01AG071243-03
CRCNS: Investigating Brain Dynamics through the Lens of Statistical Mechanics
National Science Foundation
Grant: 1837956
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
National Science Foundation
Grant: 2045848
CAREER: Brain Imaging Genetics via multimodal modular structure querying
FWCI
1.05
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals