Flattening of populations
Nobody has claimed this yet.
- Dominant language
- Java
- Stars
- 11
- Forks
- 11
- Avg merge
- 8h 6m
- Merged PRs (30d)
- 1
Description
Hi
I have been working on matlab and C(+cvode) exporters, and I would like to know whether there would be a way of flattening at the entire network level. In other words, what I need is just a large system of ODEs, comprising each cell dynamics, for all cells in a population, for all populations -- as well as the ODEs associated with connectivity (i.e. synaptic dynamics). I am basing these new exporters on the Brian exporter.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the Brian exporter in src/main/java/org/neuroml/export/matlab/MatlabWriter.java, then trace how populations, cells, and connectivity are represented for export. Compare that structure with the requested MATLAB and C(+cvode) exporters; the work is complete when a network can be emitted as one system of cell and synaptic ODEs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- c, java, matlab
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100