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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Dorsal root ganglion (DRG) sensory pseudounipolar neuron and axon model (Farooqui et al., 2024) modeldb.science/2018004
STSimM: a new tool for evaluating neuron model performance and detecting spike trains similarity (Marasco et al., 2024) modeldb.science/2016671
Octopus neuron (Kreeger et al., 2025) modeldb.science/2018259
SCN1A variants of uncertain significance (Knox et al, 2025) modeldb.science/2019444
Network models of single compartment neurons for investigating downmodulation of voltage-gated potassium channels (Ho et al., 2025) modeldb.science/2018263