Computational model of the distributed representation of operant reward memory: combinatoric engagement of intrinsic and synaptic plasticity mechanisms is a research paper published in Learning & Memory (2020). On theSindex it has a DataRank of 0. It has been cited 21 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.
NIH
Grant: R01-NS101356
NIH
Grant: 203059/2014-0
NINDS NIH HHS
Grant: R01 NS101356
National Institutes of Health
Grant: 5R01NS101356-04
Analyses of the Distributed Representation of Associative-Learning in an Identified Circuit Using a Combination of Single-Cell Electrophysiology and Multicellular Voltage-Sensitive Dye Recordings
Fields of Study
MeSH Terms
Keywords