The toolset includes interoperable modules for: model building, calibration (parameter estimation) and model analysis. All information needed to perform these tasks are stored in a structured, human- and machine-readable file format based on SBtab. This information includes: models, experimental calibration data and prior assumptions on parameter distributions. The toolset enables simulations of the same model in simulators with different characteristics, e.g. STEPS, NEURON, MATLAB’s Simbiology and R via automatic code generation.
29th Annual Computational Neuroscience Meeting: CNS*2020, BMC Neuroscience
A quinolin-8-ol sub-millimolar inhibitor of UGGT, the ER glycoprotein folding quality control checkpoint - ScienceDirect
CNS*2020 Online: Full Schedule
Computational cardiac physiology for new modelers: Origins, foundations, and future - Koivumäki - 2022 - Acta Physiologica - Wiley Online Library
29th Annual Computational Neuroscience Meeting: CNS*2020. - Abstract - Europe PMC
Computational cardiac physiology for new modelers: Origins, foundations, and future - Koivumäki - 2022 - Acta Physiologica - Wiley Online Library
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
Neural parameter calibration for large-scale multiagent models
Simulations
30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts
Upgrade your car model assembly and building experience with the Modeler Building Tools Kit. This all-inclusive set provides you with a range of
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