Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates is a research paper published in NeuroImage (2022). On theSindex it has a DataRank of 0.501. It has been cited 16 times, with 10 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.0764
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 10 citers.
National Eye Institute
Grant: R01EY019882
National Eye Institute
Grant: P30EY008126
National Eye Institute
Grant: R01EY027402
National Eye Institute
Grant: R01EY008890
NIH Office of the Director
Grant: S10OD021771
Natural Sciences and Engineering Research Council of Canada
Grant: RGPIN-2022-04592
FWCI
1.04
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Laminar electrophysiology of primate visual cortex during priming of pop-out visual search
Laminar electrophysiology of primate visual cortex during priming of pop-out visual search
Data from: Resolving the mesoscopic missing link: biophysical modeling of EEG from cortical columns in primates