Open russelljjarvis opened 5 years ago
This approach seems to work okay for non parallel tests. PyNN contains NEURON, which is unpickable, so may as well read from a backends file.
Is there some way we can enhance or extend their product? Perhaps it's more limited than ours ... ?
Actually, I think it might be limited to certain types of publications too. So I think there is worth in our approach.
Maybe we can extend our work, by enabling a query of their database: https://github.com/scottyih/SemanticScholarAPI/blob/master/citingPapers.py
@russelljjarvis Your last reply is in the wrong issue thread. Can you delete and move it to the one for the COA tool?
Proof of concept is demonstrated here: https://github.com/russelljjarvis/neuronunit/blob/dev/neuronunit/unit_test/dynamic_bind.ipynb
Any ideas about how to bind methods (and capabilities), from the reduced model class into the binding method in the notebook.
I think this scheme gives users of NU a lot more flexibility, when they are starting with off the shelf rigorous/standardised models.