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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Electrical properties of dendritic spines (Popovic et al. 2015) modeldb.science/2016666
Equivalent excitability achieved via different Nav subtypes (Xie et al., 2024) modeldb.science/2016663
Modeling realistic synaptic inputs of CA1 hippocampal pyramidal neurons and interneurons via Adaptive Generalized Leaky Integrate-and-Fire models (Marascoa et al., 2024) modeldb.science/2015423
4 OLM and 4 HS cells with simplified and detailed biophysics (Takács et al, accepted) modeldb.science/2016137
Kinetics and functional consequences of BK Channels activation by N-type Ca2+ channels in the dendrite of mouse neocortical layer-5 pyramidal neurons (Blömer et al., 2024) modeldb.science/2015410