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#modeldb — Public Fediverse posts

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

  1. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  2. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  3. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  4. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  5. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  6. Generated a quick plot to see usage trends for Open Source Brain v2 (): an integrated platform for that indexes multiple model and data sources (, , , ) and provides compute resources on the in "workspaces". It also includes specialist applications: for working with data in the NeuroData Without Borders () format; -UI for biophysically detailed and a environment.

  7. Generated a quick plot to see usage trends for Open Source Brain v2 (#OSBv2): an integrated #research platform for #neuroscience that indexes multiple model and data sources (#DANDI, #ModelDB, #Biomodels, #Github) and provides compute resources on the #cloud in "workspaces". It also includes specialist applications: #NWBExplorer for working with data in the NeuroData Without Borders (#NWB) format; #NetPyNE-UI for biophysically detailed #ComputationalModelling and a #JupyterLab environment.

  8. Generated a quick plot to see usage trends for Open Source Brain v2 (#OSBv2): an integrated #research platform for #neuroscience that indexes multiple model and data sources (#DANDI, #ModelDB, #Biomodels, #Github) and provides compute resources on the #cloud in "workspaces". It also includes specialist applications: #NWBExplorer for working with data in the NeuroData Without Borders (#NWB) format; #NetPyNE-UI for biophysically detailed #ComputationalModelling and a #JupyterLab environment.

  9. Generated a quick plot to see usage trends for Open Source Brain v2 (#OSBv2): an integrated #research platform for #neuroscience that indexes multiple model and data sources (#DANDI, #ModelDB, #Biomodels, #Github) and provides compute resources on the #cloud in "workspaces". It also includes specialist applications: #NWBExplorer for working with data in the NeuroData Without Borders (#NWB) format; #NetPyNE-UI for biophysically detailed #ComputationalModelling and a #JupyterLab environment.

  10. Generated a quick plot to see usage trends for Open Source Brain v2 (#OSBv2): an integrated #research platform for #neuroscience that indexes multiple model and data sources (#DANDI, #ModelDB, #Biomodels, #Github) and provides compute resources on the #cloud in "workspaces". It also includes specialist applications: #NWBExplorer for working with data in the NeuroData Without Borders (#NWB) format; #NetPyNE-UI for biophysically detailed #ComputationalModelling and a #JupyterLab environment.

  11. MIT CSAIL grad launches machine learning platform with $10M Series A - Manasi Vartak, founder and CEO of Verta, conceived of the idea of the open source project ModelDB d... - feedproxy.google.com/~r/Techcr #artificialintelligence #machinelearningmodels #recentfunding #intelcapital #enterprise #opensource #developer #startups #funding #modeldb #csail #verta #mit #tc