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#neuroml — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #neuroml, aggregated by home.social.

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

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

    More details in the post:

    ankursinha.in/2026/01/30/build

  2. A lot of steps for starting new computational modelling projects in are repeatable and can be automated. So, I created a 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!

    ankursinha.in/2025/09/23/a-coo

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

    ```
    pip install -U OSBModelValidation
    ```

    github.com/OpenSourceBrain/osb

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

    github.com/OpenSourceBrain/.gi

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

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

  5. A new release of is available. Please update to get the latest fixes and features.

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

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

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

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

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

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

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

  9. is participating in again this year under @INCF . We're looking for people with some experience of to work on developing biophysically detailed computational models using and .

    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.

    docs.neuroml.org/NeuroMLOrg/Ou

    CC

  10. supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (, , , , , ), validating (pyNeuroML, , ), visualising (pyNeuroML, , -DB), simulating (, , , , , , ), model fitting/optimisation (, , NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, .org). 7/x

  11. #NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x

  12. #NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x

  13. #NeuroML supports all stages of the modelling life-cycle with a vast ecosystem of software tools: creating (#pyNeuroML, #neuroConstruct, #NEURON, #NetPyNE, #PyNN, #N2A), validating (pyNeuroML, #OMV, #SciUnit), visualising (pyNeuroML, #OSB, #NeuroML-DB), simulating (#NEURON, #NetPyNE, #Brian, #PyNN, #NEST, #MOOSE, #EDEN), model fitting/optimisation (#NeuroTune, #BluePyOpt, NetPyNE), sharing and reusing of models (OSB, NeuroML-DB, #NeuroMorpho.org). 7/x

  14. We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: doi.org/10.7554/eLife.95135.3

    #NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

    #Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x

  15. We are very happy to provide a consolidated update on the ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: doi.org/10.7554/eLife.95135.3

    is a standard and software ecosystem for data-driven biophysically detailed endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

    1/x

  16. We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: doi.org/10.7554/eLife.95135.3

    #NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

    #Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x

  17. We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: doi.org/10.7554/eLife.95135.3

    #NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

    #Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x

  18. We are very happy to provide a consolidated update on the #NeuroML ecosystem in our @eLife paper, “The NeuroML ecosystem for standardized multi-scale modeling in neuroscience”: doi.org/10.7554/eLife.95135.3

    #NeuroML is a standard and software ecosystem for data-driven biophysically detailed #ComputationalModelling endorsed by the @INCF and CoMBINE, and includes a large community of users and software developers.

    #Neuroscience #ComputationalNeuroscience #ComputationalModelling 1/x

  19. How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.

    You can use the converted bits from here: github.com/sanjayankur31/ZangE

    #Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum

  20. How's Friday going folks? I've been working on standardising the Cell model from Zang et al 2018 to . Exported the morphology already, on to the converting the individual Ion channels next.

    You can use the converted bits from here: github.com/sanjayankur31/ZangE

  21. How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.

    You can use the converted bits from here: github.com/sanjayankur31/ZangE

    #Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum

  22. How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.

    You can use the converted bits from here: github.com/sanjayankur31/ZangE

    #Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum

  23. How's Friday going folks? I've been working on standardising the #Purkinje Cell model from Zang et al 2018 to #NeuroML. Exported the morphology already, on to the converting the individual Ion channels next.

    You can use the converted bits from here: github.com/sanjayankur31/ZangE

    #Neuroscience #ComputationalNeuroscience #Modelling #ComputationalModelling #Cerebellum

  24. Please boost:

    Please join us for the next open editorial team meeting on March 30 at 1600 UTC:

    More information (and meeting link) in the agenda document here:

    hackmd.io/drmamFWvSMibBA-SiVPW