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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Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics (Dura-Bernal et al., 2023) modeldb.science/2014832
Glutamate spillover and plateau potentials (Trpevski et al., 2023) modeldb.science/2017143
C.elegans motor and interneurons (Nicoletti at al. 2024) modeldb.science/2017403
Parkinsonian Motor Network Model during Multivariable Closed-loop DBS (Fleming et al 2023) modeldb.science/2017405
Axonal K channel inhibition promotes ectopic burst of hippocampal mossy fiber (Kamiya 2024) modeldb.science/2015571