Subcellular model building and calibration tool set - Tools - EBRAINS

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.

Scaling up cell-counting efforts in neuroscience through semi-automated methods - ScienceDirect

29th Annual Computational Neuroscience Meeting: CNS*2020,BMC Neuroscience - X-MOL

Model simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

Automated Quantification of Subcellular Particles in Myogenic Progenitors - Filippelli - 2021 - Current Protocols - Wiley Online Library

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

Computational cardiac physiology for new modelers: Origins, foundations, and future - Koivumäki - 2022 - Acta Physiologica - Wiley Online Library

Automated Quantification of Subcellular Particles in Myogenic Progenitors - Filippelli - 2021 - Current Protocols - Wiley Online Library

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Scaling up cell-counting efforts in neuroscience through semi-automated methods - ScienceDirect

Model-Based Calibration Toolbox - MATLAB