PN 2

SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

51 to 60 of 239 Results

true_model_logistic_4params_istep_mlp.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.3 KB - MD5: 6a958bd49461d110128d703afe52a53d
true_model_logistic_4params_istep_multi_trial.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.2 KB - MD5: f2ae4d38cf2d8b5647bda378d08959c9
true_model_logistic_4params_istep_single_trial.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.5 KB - MD5: b05b2bf0c661787eb198714158123a5d
true_model_logistic_4params.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.3 KB - MD5: a12adfade7defb9e27d4d077561a8e87
true_model_logistic_istep_mp.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.2 KB - MD5: c3b2e8a3f5f4f354fe1b4cb5d74b3b9a
true_model_logistic_istep_single_trial.stan Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Unknown - 1.3 KB - MD5: 3bcadbf51696fe0c049265ea4c6f1e76
true_models_helpers.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 400 B - MD5: 94ab6e3d4cddb7df65fe8d3ee5718a4f
utils.R Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference R Syntax - 7.3 KB - MD5: 4875bca50c00ab9e317e31af55794020
PN 2-7(Universität Stuttgart) Mar 13, 2024 SimTech Project PN 2-7 "Data-integrated training of surrogate models for uncertainty quantification and diagnostics of complex biological systems models"
Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers Dec 15, 2023 - PN 2-3B Santana Chacon, Pablo Filipe; Hammer, Maria; Wochner, Isabell; Walter, Johannes R.; Schmitt, Syn, 2023, "Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers", https://doi.org/10.18419/DARUS-3796, DaRUS, V1 This code/data allows you reproduce the results of the paper: "A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers" by P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. Always cite the paper together with this dataset because this dataset is not self-exp...

true_model_logistic_4params_istep_mlp.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.3 KB -

true_model_logistic_4params_istep_multi_trial.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.2 KB -

true_model_logistic_4params_istep_single_trial.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.5 KB -

true_model_logistic_4params.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.3 KB -

true_model_logistic_istep_mp.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.2 KB -

true_model_logistic_istep_single_trial.stan

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

Unknown - 1.3 KB -

true_models_helpers.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 400 B -

utils.R

Mar 14, 2024 - Replication Code for: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference

R Syntax - 7.3 KB -

PN 2-7(Universität Stuttgart)

Mar 13, 2024

SimTech Project PN 2-7 "Data-integrated training of surrogate models for uncertainty quantification and diagnostics of complex biological systems models"

Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers

Dec 15, 2023 - PN 2-3B

Santana Chacon, Pablo Filipe; Hammer, Maria; Wochner, Isabell; Walter, Johannes R.; Schmitt, Syn, 2023, "Replication Data for: A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers", https://doi.org/10.18419/DARUS-3796, DaRUS, V1

This code/data allows you reproduce the results of the paper: "A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers" by P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. Always cite the paper together with this dataset because this dataset is not self-exp...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications