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:

Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)

A computational model for fast skeletal muscle (Kim and Heckman, accepted)

Particle-Swarm Based Modelling Reveals Two Distinct Classes of CRH^{PVN} Neurons (Lameu et al 2022)

Biochemical Systems Theory Model of TNFa related pathways (Sasidharakurup and Diwakar 2020)

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