Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Building a generic base class for all multisynapse neuron models #477

Closed
golosio opened this issue Sep 13, 2016 · 3 comments
Closed

Building a generic base class for all multisynapse neuron models #477

golosio opened this issue Sep 13, 2016 · 3 comments

Comments

@golosio
Copy link

golosio commented Sep 13, 2016

There is a significant superposition in the code of all multisynapse neuron models. For code revision, maintenance, introduction of new models, a more efficient solution would be to have a generic base class (or maybe a template class) multisynapse_neuron, which contains the common code and from which all multisynapse neuron models could be derived.
Also, there is probably no reason to bind an instance of this model to a single conductance/psc model: in principle one could have in the same neuron, for example, one port for conductance-based synapses modeled by alpha function, another for psc_exp synapses, etc. This could be achieved by separating the code for synaptic current from that for generic multisynapse neuron.

@golosio
Copy link
Author

golosio commented Sep 13, 2016

See also issue #472 and comment #439 (comment)

@heplesser
Copy link
Contributor

@golosio Would you consider closing this issue, since NESTML will provide a much more general solution?

@golosio
Copy link
Author

golosio commented Nov 17, 2016

Sure...

@golosio golosio closed this as completed Nov 17, 2016
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants