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Realistic Microcircuits
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Automated metadata suggester (McDougal et al 2018)
 
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Model Information
Model File
Accession:
195555
This code provides an abstract processing method that predicts keywords for model entries in ModelDB.
Reference:
1 .
McDougal RA, Dalal I, Morse TM, Shepherd GM (2019) Automated Metadata Suggestion During Repository Submission.
Neuroinformatics
17(3)
:361-371
[
PubMed
]
Citations
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Model Information
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Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
Python;
Model Concept(s):
Methods;
Implementer(s):
McDougal, Robert [robert.mcdougal at yale.edu];
/
metadatasuggestor
readme.txt
abstract_metadata.py
class_and_name_by_id.json
license.txt
manual_classifier_rules.json
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