ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. Models in ModelDB can be coded in any language for any environment. Model code can be viewed before downloading, and browsers can be set to auto-launch the models. For further information, see McDougal et al (2016), Reproducibility in Computational Neuroscience Models and Simulations and McDougal et al (2017), Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.
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mGluRIII modulation of proximal and distal inhibition onto CA1-PCs (Petroccione et al. 2026) modeldb.science/2031084
Threshold Power-Law Recurrent Neural Networks (Nicola 2026) modeldb.science/2031083
Tonic GABAergic activity facilitates dendritic calcium signaling (Chiu et al 2026) modeldb.science/2018023
Rhesus monkey dlPFC pyramidal neuron model with myelinated axon collaterals (Sengupta et al, 2025) modeldb.science/2019345
Inner retina; pathological retina spontaneous oscillation (Horie et al, 2025) modeldb.science/2019896