Building detailed neuronal models is hard---#NeuroML helps, but there’s still a steep learning curve. We're investigating how #LLMs can be used to create natural language interfaces to improve accessibility:

- #RAG for NeuroML: learn from and query curated information sources
- iterative LLM assisted code/model generation: modelling, validation, and simulation

More details in the post:

https://ankursinha.in/2026/01/30/building-an-ai-assistant-for-computational-modelling-with-neuroml.html

#Neuroscience #ComputationalNeuroscience #AcademicChatter #LangChain

I created a #CookieCutter project template for #ComputationalModelling using #NeuroML

(You can use it for non NeuroML models too, or modify it for your own templates)

More information here:

https://ankursinha.in/2025/09/23/a-cookiecutter-template-to-quickstart-neuroml-modelling-projects.html

#ComputationalNeuroscience #Python #Neuroscience #AcademicChatter

A lot of steps for starting new computational modelling projects in #NeuroML are repeatable and can be automated. So, I created a #Cookiecutter template to quickstart these projects. It includes boilerplate code and implements lots of other recommended/best practices in model and software development. Feedback/suggestions welcome!

https://ankursinha.in/2025/09/23/a-cookiecutter-template-to-quickstart-neuroml-modelling-projects.html

#Neuroscience #ComputationalNeuroscience #Python #Git #AcademicChatter #FAIR #OpenScience #FOSS #SoftwareDevelopment

A new version of the Open Source Brain (#OpenSourceBrain) model validation framework was just released. Please update your installations:

```
pip install -U OSBModelValidation
```

https://github.com/OpenSourceBrain/osb-model-validation/releases/tag/v0.3.9

#OMV is a #Python package that allows you to validate your #NeuroML models against different simulation engines---to ensure that you get the same behaviours on all these engines. Examples:

https://github.com/OpenSourceBrain/.github/blob/main/testsheet/README.md

#FAIR #ComputationalNeuroscience #Neuroscience #ModelValidation

A new release of PyNeuroML is available, please update your installations:

https://github.com/NeuroML/pyNeuroML/releases

```
pip install --upgrade pyneuroml
```

#NeuroML #ComputationalNeuroscience #Neuroscience #Python #AcademicChatter

A new release of #PyNeuroML is available. Please update to get the latest fixes and features. #NeuroML #ComputationalModelling #ComputationalNeuroscience

```
pip install --upgrade pyneuroml
```

In the next version, 0.6.6, all component classes in the #libNeuroML #Python API gain a quick method to list the parameters of their model objects. So, if you load a #NeuroML file/model, you can easily print the parameters of the different model entities. See the test in the pull request for a quick example:

https://github.com/NeuralEnsemble/libNeuroML/pull/208/files

#ComputationalNeuroscience #AcademicChatter #Neuroscience #FAIR

#NeuroML is participating in #GSoC2025 again this year under @INCF . We're looking for people with some experience of #ComputationalNeuroscience to work on developing #standardised biophysically detailed computational models using #NeuroML #PyNN and #OpenSourceBrain.

Please spread the word, especially to students interested in modelling. We will help them learn the NeuroML ecosystem so they can use its standardised pipeline in their work.

https://docs.neuroml.org/NeuroMLOrg/OutreachTraining.html#google-summer-of-code

CC #AcademicChatter