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Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics Journal article
Shuttleworth, Joseph G., Lei, Chon Lok, Whittaker, Dominic G., Windley, Monique J., Hill, Adam P., Preston, Simon P., Mirams, Gary R.. Empirical Quantification of Predictive Uncertainty Due to Model Discrepancy by Training with an Ensemble of Experimental Designs: An Application to Ion Channel Kinetics[J]. Bulletin of Mathematical Biology, 2024, 86(1), 2.
Authors:  Shuttleworth, Joseph G.;  Lei, Chon Lok;  Whittaker, Dominic G.;  Windley, Monique J.;  Hill, Adam P.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:2.0/2.1 | Submit date：2024/02/22
Discrepancy  Experimental Design  Ion Channel  Mathematical Model  Misspecification  Uncertainty Quantification  
Model-driven optimal experimental design for calibrating cardiac electrophysiology models Journal article
Lei,Chon Lok, Clerx,Michael, Gavaghan,David J., Mirams,Gary R.. Model-driven optimal experimental design for calibrating cardiac electrophysiology models[J]. Computer Methods and Programs in Biomedicine, 2023, 240, 107690.
Authors:  Lei,Chon Lok;  Clerx,Michael;  Gavaghan,David J.;  Mirams,Gary R.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:4.9/5.5 | Submit date：2023/08/03
Action Potential  Electrophysiology  Mathematical Modelling  Model Calibration  Optimal Experimental Design  Patch Clamp  
Comprehensive perspectives on experimental models for Parkinson's disease Journal article
Ke, Minjing, Chong, Cheong Meng, Zhu, Qi, Zhang, Ke, Cai, Cui Zan, Lu, Jia Hong, Qin, Dajiang, Su, Huanxing. Comprehensive perspectives on experimental models for Parkinson's disease[J]. Aging and Disease, 2021, 12(1), 223-246.
Authors:  Ke, Minjing;  Chong, Cheong Meng;  Zhu, Qi;  Zhang, Ke;  Cai, Cui Zan; et al.
Favorite | TC[WOS]:18 TC[Scopus]:17  IF:7.0/7.1 | Submit date：2021/12/07
Cellular Model  Cross-species Model  Experimental Model  Parkinson's Disease  Transgenic Animal  
On the distinguishability of HRF models in fMRI Journal article
Rosa,Paulo N., Figueiredo,Patricia, Silvestre,Carlos J.. On the distinguishability of HRF models in fMRI[J]. Frontiers in Computational Neuroscience, 2015, 9(MAY).
Authors:  Rosa,Paulo N.;  Figueiredo,Patricia;  Silvestre,Carlos J.
Favorite | TC[WOS]:0 TC[Scopus]:6  IF:2.1/2.9 | Submit date：2021/03/09
Bold Fmri  Distinguishability  Experimental Paradigm  Fmri  Hrf  Model Selection