ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. ModelDB is coupled with NeuronDB, an archive of experimentally observed neuron properties. 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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Adaptive Generalized Leaky Integrate-and-Fire Model (AGLIF) (Marasco et al., 2023) modeldb.science/267598
ffian: Fluid Flow In Astrocyte Networks (Sætra et al. 2023) modeldb.science/2014830
A multiscale predictive digital twin for neurocardiac modulation (Yang et al., 2023) modeldb.science/2014999
Hybrid NEURON-COMSOL sciatic nerve model with extracellular TIME stimulation (Xie et al, accepted) modeldb.science/267618
TD2Q reinforcement learning (Blackwell and Doya, in press) modeldb.science/2014825
Long- and short-term history effects in a spiking network model of statistical learning (Maes et al accepted) modeldb.science/267144