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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Recent models:

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

Cholinergic Modulation Shifts the Response of CA1 Pyramidal Cells to Depolarizing Ramps via TRPM4 Channels with Potential Implications for Place Cell Firing (Combe et al., 2023) modeldb.science/267599

A single compartment model of Drosophila motor neuron (Megwa et al 2023) modeldb.science/267620


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