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.
A quinolin-8-ol sub-millimolar inhibitor of UGGT, the ER glycoprotein folding quality control checkpoint - ScienceDirect
A quinolin-8-ol sub-millimolar inhibitor of UGGT, the ER glycoprotein folding quality control checkpoint - ScienceDirect
29th Annual Computational Neuroscience Meeting: CNS*2020,BMC Neuroscience - X-MOL
Neural parameter calibration for large-scale multiagent models
Neural parameter calibration for large-scale multiagent models
Scaling up cell-counting efforts in neuroscience through semi-automated methods - ScienceDirect
Calendar - HGS Mathcomp
Hallmarks of neurodegenerative disease: A systems pharmacology perspective - Bloomingdale - 2022 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library
Scaling up cell-counting efforts in neuroscience through semi-automated methods - ScienceDirect
phtool
ERVT™ Calibration Block for Flat Components and Piping Over 20 OD
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
Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit
PDF) Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows