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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A model of rodent mechanoreceptors (LTMRs) (Medlock et al., 2024) modeldb.science/2016218
Synchronization in a realistic model of CA1 pyramidal neurons (Fiasconaro and Migliore 2024) modeldb.science/2018009
Persistent Interruption in Parvalbumin-Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms (Upchurch et al., 2024) modeldb.science/2016658
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