SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"
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141 to 150 of 368 Results
gspine: A Human Spine Model Built Using Literature Data
Jul 24, 2025 - demoa
Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V5
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation...
gspine-1.3.tgz
Jul 24, 2025 - gspine: A Human Spine Model Built Using Literature Data
TAR Archive - 175.7 KB - MD5: 4d54aa0e8a52e5d94949744cfd3c8c21
Generic human spine model, ready for demoa version 3.2
allmin: A Reduced Human All-Body Model
Jun 3, 2025 - demoa
Walter, Johannes R.; Wochner, Isabell; Jacob, Marc; Stollenmaier, Katrin; Lerge, Patrick; Schmitt, Syn, 2022, "allmin: A Reduced Human All-Body Model", https://doi.org/10.18419/DARUS-2982, DaRUS, V3
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model consists of a musculoskeletal model of the human body with 20 degrees of freedom actuated by 36 muscles. The model is prepared to run muscle-driven simulation. The file contain...
allmin-3.0.tgz
Jun 3, 2025 - allmin: A Reduced Human All-Body Model
TAR Archive - 71.1 KB - MD5: 6e0d484243db14d4bed0db1b5fd93d21
LICENSE
Jun 3, 2025 - allmin: A Reduced Human All-Body Model
Plain Text - 1.5 KB - MD5: 1cd608add5724e6f8e1cc9bb99cee225
README.md
Jun 3, 2025 - allmin: A Reduced Human All-Body Model
Markdown Text - 1.9 KB - MD5: a28d7b07e57e74c877b5d53513a07a7d
Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Mar 14, 2024 - PN 2-7
Reiser, Philipp; Aguilar, Javier Enrique; Guthke, Anneli; Bürkner, Paul-Christian, 2024, "Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference", https://doi.org/10.18419/DARUS-4093, DaRUS, V1
This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. For further details, please refer to the README.md.
analytic_model.R
Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
R Syntax - 12.2 KB - MD5: 5a5b05bfd7f5325a59640df493b1b879
eval_logistic_sigma_a.R
Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
R Syntax - 4.4 KB - MD5: 453bcad1a7681fbc5dc19107d331ae02
eval_sbc_logistic_helpers.R
Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
R Syntax - 3.1 KB - MD5: ae9772754376d5235a8dc6767ebf9990
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