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

Have more cell types builtin (e.g. Izhikevich) to improve NeuroML compat #1832

Open
3 tasks
brenthuisman opened this issue Feb 7, 2022 · 3 comments · May be fixed by #2230
Open
3 tasks

Have more cell types builtin (e.g. Izhikevich) to improve NeuroML compat #1832

brenthuisman opened this issue Feb 7, 2022 · 3 comments · May be fixed by #2230

Comments

@brenthuisman
Copy link
Contributor

brenthuisman commented Feb 7, 2022

NeuroML relies on the simulator to have implementations for cell kinds, one of which is izhikevichCell. The rather short list of point neuron models in Arbor has been mentioned before, so that makes two reasons to consider expanding the list. For reference: here (scroll down on the RHS) the list that NeuroML expects.

  • Get feedback on a list of most wanted cell kinds.
    • Bring up in the upcoming Developer Meeting.
  • Are there any cell kinds needed to show off our NML support? Anything that would to well in a publication?

Whoever reads this, please add your cell kinds in a comment.

@thorstenhater
Copy link
Contributor

This is only a small step on the road to a larger project:

@schmitts
Copy link
Contributor

schmitts commented Feb 7, 2022

AdEx would be nice

@brenthuisman
Copy link
Contributor Author

#1605 is ambitious and long term. Earlier we advised people to write a mechanism to implement their own single compartment neuron, e.g. https://github.com/tetzlab/FIPPA

@brenthuisman brenthuisman removed this from the v0.7 milestone Mar 2, 2022
@thorstenhater thorstenhater linked a pull request Nov 24, 2023 that will close this issue
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

3 participants