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.

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

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

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

Scaffold modelling captures the structure-function-dynamics relationship in brain microcircuits

Deciphering subcellular organization with multiplexed imaging and deep learning

A quinolin-8-ol sub-millimolar inhibitor of UGGT, the ER glycoprotein folding quality control checkpoint - ScienceDirect

Neural parameter calibration for large-scale multiagent models

Partnering Projects

Calendar - HGS Mathcomp

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

Hallmarks of neurodegenerative disease: A systems pharmacology perspective - Bloomingdale - 2022 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library

Hallmarks of neurodegenerative disease: A systems pharmacology perspective - Bloomingdale - 2022 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library

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

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

Simulations