ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling is a research paper published in Frontiers in Computational Neuroscience (2020). On theSindex it has a DataRank of 0. It has been cited 8 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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NIBIB NIH HHS
Grant: U01 EB025830
NIBIB NIH HHS
Grant: P41 EB001978
National Institutes of Health
Grant: 5U01EB025830-07
PREDICTIVE MODELING OF BIOELECTRIC ACTIVITY ON MAMMALIAN MULTILAYERED NEURONAL STRUCTURES IN THE PRESENCE OF SUPRAPHYSIOLOGICAL ELECTRIC FIELDS
National Institutes of Health
FWCI
0.50
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords